one pager - Project Ipsilon. 2021. Ipsilon app as data generator. MCI risk checker (wellness), Ipsilon cognitive status index (clinical, in preparation for regulatory filings).
Emotiv is a San Francisco-based company founded in 2011 that develops EEG-based brain-computer interface products and research. It has raised $1.76 million in seed funding and has between 51-100 employees. Emotiv's products include the EPOC X and EPOC Flex for researchers, the MN8 and INSIGHT for consumers, and software like Emotiv BCI, Emotiv Pro, and Emotiv BrainViz. The company aims to better understand the human brain through electroencephalography and provide developers with affordable and high-quality tools and data to create BCI applications.
Brainsense is a single-channel, wireless EEG headset created by Pantech Prolabs India Pvt Ltd that monitors brain activity and translates it into meaningful data. It can be used to play cognitive games, measure meditation levels daily, test focus through real-time brain monitoring, research brain-computer interfaces, and read raw brainwaves. Brainsense works across various platforms and with popular brain training apps globally.
Our diagnostic system can profile cognitive wellness and provide digital sensory stimulation therapy with lower error rates than paper tests. It is low cost and easy to use either on its own or to support existing protocols. A clinical trial of 50 Parkinson's patients in Italy will test the system for prehabilitation and measuring recovery. The company aims to integrate music, cognition, neurology and technology for mindfulness and cognitive assessment.
Augmenting Speech-Language Rehabilitation with Brain Computer Interfaces: An ...HCI Lab
Presentation on Aug 7, 2015 in the 17th International Conference on Human-Computer Interaction #HCII2015 in Los Angeles, CA, USA. The paper was presented in the Universal Access in Human-Computer Interaction track in the "Novel technologies for speech, language, attention and child development" session which was chaired by Prof. Margherita Antona, Foundation for Research & Technology - Hellas (FORTH), Greece http://2015.hci.international/friday
Effects of Blue Light on Cognitive PerformanceIRJET Journal
This document summarizes a study that examined the effects of blue light exposure on cognitive performance. Seven male participants spent 3.5 hours exposed to either an LED laptop screen or the same screen covered with a blue light filter. A variety of cognitive tasks were performed during the exposures and EEG, mood surveys, and measures of alertness were taken. Results showed significant differences between the screen conditions for EEG delta/theta activity, mood, sustained attention, short-term memory, and active memory. Exposure to the LED screen decreased frontal EEG activity and increased alertness, while the blue light filter improved mood and memory performance but increased feelings of dizziness. The study suggests that prolonged blue light exposure can negatively impact mood, memory, and cognitive
use cases enabled by neuroscientific algorithms in AR/VR:
1) early detecting Alzheimer's, Parkinson's
2) early detecting ADHD and autism
3) medical eLearning
Mindset Technologies - diagnostics / telemedicine / digital health use casesAladarTepeleamatchma
We leverage neuroscientific algorithms and machine vision (initially in AR/VR and later in telemedical devices) to enable the early detection of:
- neurodevelopmental diseases like Alzheimer's, Parkinson's
- neurodegenerative diseases like autism and ADHD
... by building a “pulse watch for the brain”
Emotiv is a San Francisco-based company founded in 2011 that develops EEG-based brain-computer interface products and research. It has raised $1.76 million in seed funding and has between 51-100 employees. Emotiv's products include the EPOC X and EPOC Flex for researchers, the MN8 and INSIGHT for consumers, and software like Emotiv BCI, Emotiv Pro, and Emotiv BrainViz. The company aims to better understand the human brain through electroencephalography and provide developers with affordable and high-quality tools and data to create BCI applications.
Brainsense is a single-channel, wireless EEG headset created by Pantech Prolabs India Pvt Ltd that monitors brain activity and translates it into meaningful data. It can be used to play cognitive games, measure meditation levels daily, test focus through real-time brain monitoring, research brain-computer interfaces, and read raw brainwaves. Brainsense works across various platforms and with popular brain training apps globally.
Our diagnostic system can profile cognitive wellness and provide digital sensory stimulation therapy with lower error rates than paper tests. It is low cost and easy to use either on its own or to support existing protocols. A clinical trial of 50 Parkinson's patients in Italy will test the system for prehabilitation and measuring recovery. The company aims to integrate music, cognition, neurology and technology for mindfulness and cognitive assessment.
Augmenting Speech-Language Rehabilitation with Brain Computer Interfaces: An ...HCI Lab
Presentation on Aug 7, 2015 in the 17th International Conference on Human-Computer Interaction #HCII2015 in Los Angeles, CA, USA. The paper was presented in the Universal Access in Human-Computer Interaction track in the "Novel technologies for speech, language, attention and child development" session which was chaired by Prof. Margherita Antona, Foundation for Research & Technology - Hellas (FORTH), Greece http://2015.hci.international/friday
Effects of Blue Light on Cognitive PerformanceIRJET Journal
This document summarizes a study that examined the effects of blue light exposure on cognitive performance. Seven male participants spent 3.5 hours exposed to either an LED laptop screen or the same screen covered with a blue light filter. A variety of cognitive tasks were performed during the exposures and EEG, mood surveys, and measures of alertness were taken. Results showed significant differences between the screen conditions for EEG delta/theta activity, mood, sustained attention, short-term memory, and active memory. Exposure to the LED screen decreased frontal EEG activity and increased alertness, while the blue light filter improved mood and memory performance but increased feelings of dizziness. The study suggests that prolonged blue light exposure can negatively impact mood, memory, and cognitive
use cases enabled by neuroscientific algorithms in AR/VR:
1) early detecting Alzheimer's, Parkinson's
2) early detecting ADHD and autism
3) medical eLearning
Mindset Technologies - diagnostics / telemedicine / digital health use casesAladarTepeleamatchma
We leverage neuroscientific algorithms and machine vision (initially in AR/VR and later in telemedical devices) to enable the early detection of:
- neurodevelopmental diseases like Alzheimer's, Parkinson's
- neurodegenerative diseases like autism and ADHD
... by building a “pulse watch for the brain”
ICT applied to Neurodegenerative Diseasesgreendisc
- The document discusses the use of information and communication technologies (ICT) to help diagnose and monitor neurodegenerative diseases like Alzheimer's, Parkinson's, and Multiple Sclerosis.
- ICT tools described include sensors to detect changes in behavior, speech analysis using smartphones, gait analysis for Parkinson's, and using motion sensors like Kinect for MS rehabilitation.
- These technologies aim to enable early diagnosis, continuous monitoring of symptoms, and improving treatment and quality of life for patients. The document also discusses the potential of new technologies like graphene biosensors.
This document discusses the use of digital technology in the field of health and healthcare for neurological diseases to improve comprehensive healthcare services in areas of promotion, prevention, treatment, and rehabilitation. It proposes the development of a telestroke network and mobile application to address issues with stroke care in Indonesia by improving access and coordination of services. Key initiatives proposed include teleconsultations, online training courses, and collaborations between professional associations and government agencies.
This document discusses the role of computers in assisting those with hearing impairments. It outlines how computers can be used for hearing tests, auditory training programs, note-taking assistance for students, and research into treatments like stem cell therapy and targeted neural stimulation. It also discusses software tools and Microsoft's accessibility features that make computers easier to use for those with hearing loss.
The document discusses using eye tracking devices to assess cognitive functions through ocular-complex measurements during human-computer interaction. It describes that eye fixations allow users to process information by refreshing and extending short-term memory. Eye tracking is presented as the best technique to assess functions of the ocular complex like saccades, pursuits, and accommodation which relate to mental processes like attention, awareness, and working memory. Examples of potential tests are provided that measure fixation duration, number of fixations and saccades using a gradient scale.
Centre for Genomic Regulation Talk February 2024.pptxNick Brown
Presentation I recently gave at the Centre for Genomic Regulation in Barcelona - providing a glimpse into my career in AstraZeneca over 20 years with some advice for younger data scientists getting into the field.
NeuroShieldTM is an artificial intelligence tool that assists in disease diagnosis, understanding disease mechanisms, tracking clinical progression, and monitoring treatment effects. It provides fully automated segmentation and volumetric analysis of brain structures, with micro-ethnicity specific reference ranges. NeuroShieldTM helps clinicians objectively assess patients and make treatment decisions.
NeuroShieldTM is an artificial intelligence tool that assists in disease diagnosis, understanding disease mechanisms, tracking clinical progression, and monitoring treatment effects. It provides fully automated segmentation and volumetric analysis of brain structures, with micro-ethnicity specific reference ranges. NeuroShieldTM helps clinicians objectively assess patients and make treatment decisions.
This document provides an agenda for the Neurovation event taking place on November 24th, 2017 at Radboud University in Nijmegen, Netherlands. The event will include plenary sessions in the morning and afternoon with topics around neuroscience research. In between, there will be several breakout sessions including ones on healthy lifestyles and behavioral change, neurotechnology, brain and learning, and food and cognition. Each breakout session provides more details on the topics and speakers.
Telehealth Secrets 2019: Transforming Cognitive Health through Telemedicine -...VSee
This document discusses how telemedicine can help address the growing problem of dementia diagnosis and management. As the population ages, the number of dementia cases is expected to triple by 2050. Currently, diagnosing dementia involves multiple specialist appointments and can take over 5 hours at a cost of $5,000. Telemedicine has potential to streamline diagnosis through asynchronous cognitive assessments. The document introduces Neurotrack, a company developing a digital platform using eye tracking and other technologies to remotely assess cognitive abilities and risk factors. Their goal is to establish baselines, monitor changes, provide personalized feedback and engage high-risk individuals in memory health programs to help prevent dementia.
This document summarizes a presentation on artificial intelligence in medical research given by Dr. Ahmed Elngar. It discusses the history and foundations of AI, as well as key research directions like machine learning, expert systems, computer vision, neural networks, and deep learning. Deep learning is seen as core to AI and medicine, with applications in medical imaging, video analysis, and clinical tasks like screening, diagnosis and monitoring. Challenges remain around data scarcity, bias and ethical deployment, but AI has great potential to improve healthcare accuracy, efficiency and access worldwide.
Danilo Sergio Pupo is an engineer who works as a field engineer for SEA VISION installing and debugging vision systems for pharmaceutical packaging. He has experience implementing image processing techniques like OCV and OCR. He previously worked as a product specialist assisting with a new electronic health records system. Pupo received a Master's in Biomedical Engineering from Politecnico di Milano and a dual Master's from Lunds Tekniska Högskola in Sweden. He also holds a Bachelor's in Biomedical Engineering from Politecnico di Milano.
Dr. Punwani at University College London Hospital uses the Philips Ingenia 3.0T MRI for multi-parametric prostate and whole-body oncology exams. Multi-parametric MRI provides more information than standard anatomical imaging alone by including techniques like diffusion-weighted imaging, dynamic contrast-enhanced imaging, and spectroscopy. This additional data helps localize and characterize lesions, assisting in initial diagnosis and monitoring treatment effectiveness. The Ingenia's dS coils enable high-quality, whole-body multi-parametric MRI exams within a reasonable scan time.
Best practices to assess and enhance brain function via mobile devices and ...SharpBrains
The document discusses best practices for assessing and enhancing brain function using mobile devices and wearables. It summarizes presentations from several speakers at a conference on this topic. Corinna Lathan discussed a mobile reaction time testing system called DANA that can help detect neurocognitive impairment. Eddie Martucci discussed his company Akili's approach of making medicine more engaging through digital games. Alex Doman talked about how wearables can provide personalized sleep reporting. Joan Severson presented on her company's BrainBaseline platform, which integrates cognitive performance measures with lifestyle data to track brain health over time.
Biosensor for Early Detection of Breast Cancer - LIKA-CESAR PartnershipCESAR
Learn more about the Brazilian project that won silver medal in the 2014 iGEM synthetic biology in Boston / USA. A partnership between C.E.S.A.R and LIKA-UFPE.
Nero-IR is a novel area of research under cognitive psychology, neuro-physiological methods (eye tracking, EEG, EOG, and GSR) and machine learning to understand information searchers and to improve search experience. Neuro-IR is useful in investigating the search as a learning process and to employ these sensory data as assessment of reading, mind-wandering and in inferring metadata features for machine learning models. In this talk, I will introduce a unification framework for neuro-physiological data; practically these models provide context for user interactions. I will show how we can take advantage of many existing interactions combining various sensory platforms (e.g., PupilLabs, Emotiv, Empatica E4). Information fusion can provide numerous benefits in combining multiple-sources of neuro-physiological data. The most obvious among them is the expected performance gain due to combination of evidence from multiple cues. As a practical matter, acquisition of physiological metadata is a research frontier.
eLearning, Interactive Hypermedia, Neuroscience Icalt06 presentationJaved Alam
This document discusses eLearning instructional design, mapping traditional teaching practices to virtual learning environments, and components of eLearning like lectures and assessments. It also covers topics in neuroscience relevant to eLearning like visual/aural stimulus processing, memory systems, emotion, motivation, attention, and neural plasticity in the brain. The document concludes by discussing using insights from neuroscience to develop new learning science and design effective digital learning content.
Carving out Future Brain Health Directions + Expo DaySharpBrains
Expo Day (first part) @ 2014 SharpBrains Virtual Summit. Summit Sponsors announce and showcase their latest initiatives and solutions:
8–8.20am. Carving out future directions, by Dr. Ken Kosik, Co-Director of the UC Santa Barbara Neuroscience Research Institute
Expo Day
8:45–9.15am. Rosetta Stone/ FitBrains: Steve Quan, Head of Business Development & Strategic Partnerships
9.30-10am. Peak: Roy Zahut, Lead Scientist
10.15–10.45am. Baycrest/ Cogniciti: Mike Meagher, President of Cogniciti
11–11.30am. The Arrowsmith Program: Jessica Poulin, Managing Director
Learn more here:
http://sharpbrains.com/summit-2014/agenda/
AI for the Human Retina to Protect Newborn VisionStepan Pushkarev
The document discusses using artificial intelligence to help screen newborn babies for vision issues. It describes Pr3vent, a company that uses AI to analyze retinal images to identify potential vision problems. The document outlines the benefits of universal newborn vision screening to prevent vision loss and the economic savings it could provide. It then discusses how Pr3vent is developing an AI system trained on hundreds of thousands of retinal images to help identify issues and scale screening efforts. The document also covers lessons learned from developing healthcare AI applications and ensuring they are transparent, accountable and can be integrated into clinical workflows.
Alzheimer Disease Prediction using Machine Learning AlgorithmsIRJET Journal
This document summarizes research on using machine learning algorithms to predict Alzheimer's disease. It discusses collecting data from the Alzheimer's Disease Neuroimaging Initiative database and preprocessing MRI images. Feature extraction is performed using techniques like volume and thickness measurements. Machine learning models like CNNs and SVMs are trained on the data and tested to distinguish between patient groups and predict progression. The research aims to more accurately diagnose Alzheimer's at earlier stages by combining clinical assessments with structural neuroimaging data and machine learning. Accuracy of over 90% was achieved in some cases at distinguishing between patient classifications like AD vs normal control.
The document describes a clinical decision support system project completed by Jayita Roy for her MBA degree, including a declaration that the work is her own, certification by her advisor, and acknowledgements of those who provided guidance and support.
One health condition that is becoming more common day by day is diabetes.
According to research conducted by the National Family Health Survey of India, diabetic cases show a projection which might increase to 10.4% by 2030.
ICT applied to Neurodegenerative Diseasesgreendisc
- The document discusses the use of information and communication technologies (ICT) to help diagnose and monitor neurodegenerative diseases like Alzheimer's, Parkinson's, and Multiple Sclerosis.
- ICT tools described include sensors to detect changes in behavior, speech analysis using smartphones, gait analysis for Parkinson's, and using motion sensors like Kinect for MS rehabilitation.
- These technologies aim to enable early diagnosis, continuous monitoring of symptoms, and improving treatment and quality of life for patients. The document also discusses the potential of new technologies like graphene biosensors.
This document discusses the use of digital technology in the field of health and healthcare for neurological diseases to improve comprehensive healthcare services in areas of promotion, prevention, treatment, and rehabilitation. It proposes the development of a telestroke network and mobile application to address issues with stroke care in Indonesia by improving access and coordination of services. Key initiatives proposed include teleconsultations, online training courses, and collaborations between professional associations and government agencies.
This document discusses the role of computers in assisting those with hearing impairments. It outlines how computers can be used for hearing tests, auditory training programs, note-taking assistance for students, and research into treatments like stem cell therapy and targeted neural stimulation. It also discusses software tools and Microsoft's accessibility features that make computers easier to use for those with hearing loss.
The document discusses using eye tracking devices to assess cognitive functions through ocular-complex measurements during human-computer interaction. It describes that eye fixations allow users to process information by refreshing and extending short-term memory. Eye tracking is presented as the best technique to assess functions of the ocular complex like saccades, pursuits, and accommodation which relate to mental processes like attention, awareness, and working memory. Examples of potential tests are provided that measure fixation duration, number of fixations and saccades using a gradient scale.
Centre for Genomic Regulation Talk February 2024.pptxNick Brown
Presentation I recently gave at the Centre for Genomic Regulation in Barcelona - providing a glimpse into my career in AstraZeneca over 20 years with some advice for younger data scientists getting into the field.
NeuroShieldTM is an artificial intelligence tool that assists in disease diagnosis, understanding disease mechanisms, tracking clinical progression, and monitoring treatment effects. It provides fully automated segmentation and volumetric analysis of brain structures, with micro-ethnicity specific reference ranges. NeuroShieldTM helps clinicians objectively assess patients and make treatment decisions.
NeuroShieldTM is an artificial intelligence tool that assists in disease diagnosis, understanding disease mechanisms, tracking clinical progression, and monitoring treatment effects. It provides fully automated segmentation and volumetric analysis of brain structures, with micro-ethnicity specific reference ranges. NeuroShieldTM helps clinicians objectively assess patients and make treatment decisions.
This document provides an agenda for the Neurovation event taking place on November 24th, 2017 at Radboud University in Nijmegen, Netherlands. The event will include plenary sessions in the morning and afternoon with topics around neuroscience research. In between, there will be several breakout sessions including ones on healthy lifestyles and behavioral change, neurotechnology, brain and learning, and food and cognition. Each breakout session provides more details on the topics and speakers.
Telehealth Secrets 2019: Transforming Cognitive Health through Telemedicine -...VSee
This document discusses how telemedicine can help address the growing problem of dementia diagnosis and management. As the population ages, the number of dementia cases is expected to triple by 2050. Currently, diagnosing dementia involves multiple specialist appointments and can take over 5 hours at a cost of $5,000. Telemedicine has potential to streamline diagnosis through asynchronous cognitive assessments. The document introduces Neurotrack, a company developing a digital platform using eye tracking and other technologies to remotely assess cognitive abilities and risk factors. Their goal is to establish baselines, monitor changes, provide personalized feedback and engage high-risk individuals in memory health programs to help prevent dementia.
This document summarizes a presentation on artificial intelligence in medical research given by Dr. Ahmed Elngar. It discusses the history and foundations of AI, as well as key research directions like machine learning, expert systems, computer vision, neural networks, and deep learning. Deep learning is seen as core to AI and medicine, with applications in medical imaging, video analysis, and clinical tasks like screening, diagnosis and monitoring. Challenges remain around data scarcity, bias and ethical deployment, but AI has great potential to improve healthcare accuracy, efficiency and access worldwide.
Danilo Sergio Pupo is an engineer who works as a field engineer for SEA VISION installing and debugging vision systems for pharmaceutical packaging. He has experience implementing image processing techniques like OCV and OCR. He previously worked as a product specialist assisting with a new electronic health records system. Pupo received a Master's in Biomedical Engineering from Politecnico di Milano and a dual Master's from Lunds Tekniska Högskola in Sweden. He also holds a Bachelor's in Biomedical Engineering from Politecnico di Milano.
Dr. Punwani at University College London Hospital uses the Philips Ingenia 3.0T MRI for multi-parametric prostate and whole-body oncology exams. Multi-parametric MRI provides more information than standard anatomical imaging alone by including techniques like diffusion-weighted imaging, dynamic contrast-enhanced imaging, and spectroscopy. This additional data helps localize and characterize lesions, assisting in initial diagnosis and monitoring treatment effectiveness. The Ingenia's dS coils enable high-quality, whole-body multi-parametric MRI exams within a reasonable scan time.
Best practices to assess and enhance brain function via mobile devices and ...SharpBrains
The document discusses best practices for assessing and enhancing brain function using mobile devices and wearables. It summarizes presentations from several speakers at a conference on this topic. Corinna Lathan discussed a mobile reaction time testing system called DANA that can help detect neurocognitive impairment. Eddie Martucci discussed his company Akili's approach of making medicine more engaging through digital games. Alex Doman talked about how wearables can provide personalized sleep reporting. Joan Severson presented on her company's BrainBaseline platform, which integrates cognitive performance measures with lifestyle data to track brain health over time.
Biosensor for Early Detection of Breast Cancer - LIKA-CESAR PartnershipCESAR
Learn more about the Brazilian project that won silver medal in the 2014 iGEM synthetic biology in Boston / USA. A partnership between C.E.S.A.R and LIKA-UFPE.
Nero-IR is a novel area of research under cognitive psychology, neuro-physiological methods (eye tracking, EEG, EOG, and GSR) and machine learning to understand information searchers and to improve search experience. Neuro-IR is useful in investigating the search as a learning process and to employ these sensory data as assessment of reading, mind-wandering and in inferring metadata features for machine learning models. In this talk, I will introduce a unification framework for neuro-physiological data; practically these models provide context for user interactions. I will show how we can take advantage of many existing interactions combining various sensory platforms (e.g., PupilLabs, Emotiv, Empatica E4). Information fusion can provide numerous benefits in combining multiple-sources of neuro-physiological data. The most obvious among them is the expected performance gain due to combination of evidence from multiple cues. As a practical matter, acquisition of physiological metadata is a research frontier.
eLearning, Interactive Hypermedia, Neuroscience Icalt06 presentationJaved Alam
This document discusses eLearning instructional design, mapping traditional teaching practices to virtual learning environments, and components of eLearning like lectures and assessments. It also covers topics in neuroscience relevant to eLearning like visual/aural stimulus processing, memory systems, emotion, motivation, attention, and neural plasticity in the brain. The document concludes by discussing using insights from neuroscience to develop new learning science and design effective digital learning content.
Carving out Future Brain Health Directions + Expo DaySharpBrains
Expo Day (first part) @ 2014 SharpBrains Virtual Summit. Summit Sponsors announce and showcase their latest initiatives and solutions:
8–8.20am. Carving out future directions, by Dr. Ken Kosik, Co-Director of the UC Santa Barbara Neuroscience Research Institute
Expo Day
8:45–9.15am. Rosetta Stone/ FitBrains: Steve Quan, Head of Business Development & Strategic Partnerships
9.30-10am. Peak: Roy Zahut, Lead Scientist
10.15–10.45am. Baycrest/ Cogniciti: Mike Meagher, President of Cogniciti
11–11.30am. The Arrowsmith Program: Jessica Poulin, Managing Director
Learn more here:
http://sharpbrains.com/summit-2014/agenda/
AI for the Human Retina to Protect Newborn VisionStepan Pushkarev
The document discusses using artificial intelligence to help screen newborn babies for vision issues. It describes Pr3vent, a company that uses AI to analyze retinal images to identify potential vision problems. The document outlines the benefits of universal newborn vision screening to prevent vision loss and the economic savings it could provide. It then discusses how Pr3vent is developing an AI system trained on hundreds of thousands of retinal images to help identify issues and scale screening efforts. The document also covers lessons learned from developing healthcare AI applications and ensuring they are transparent, accountable and can be integrated into clinical workflows.
Alzheimer Disease Prediction using Machine Learning AlgorithmsIRJET Journal
This document summarizes research on using machine learning algorithms to predict Alzheimer's disease. It discusses collecting data from the Alzheimer's Disease Neuroimaging Initiative database and preprocessing MRI images. Feature extraction is performed using techniques like volume and thickness measurements. Machine learning models like CNNs and SVMs are trained on the data and tested to distinguish between patient groups and predict progression. The research aims to more accurately diagnose Alzheimer's at earlier stages by combining clinical assessments with structural neuroimaging data and machine learning. Accuracy of over 90% was achieved in some cases at distinguishing between patient classifications like AD vs normal control.
The document describes a clinical decision support system project completed by Jayita Roy for her MBA degree, including a declaration that the work is her own, certification by her advisor, and acknowledgements of those who provided guidance and support.
One health condition that is becoming more common day by day is diabetes.
According to research conducted by the National Family Health Survey of India, diabetic cases show a projection which might increase to 10.4% by 2030.
Hiranandani Hospital in Powai, Mumbai, is a premier healthcare institution that has been serving the community with exceptional medical care since its establishment. As a part of the renowned Hiranandani Group, the hospital is committed to delivering world-class healthcare services across a wide range of specialties, including kidney transplantation. With its state-of-the-art facilities, advanced medical technology, and a team of highly skilled healthcare professionals, Hiranandani Hospital has earned a reputation as a trusted name in the healthcare industry. The hospital's patient-centric approach, coupled with its focus on innovation and excellence, ensures that patients receive the highest standard of care in a compassionate and supportive environment.
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Cell Therapy Expansion and Challenges in Autoimmune DiseaseHealth Advances
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).