1. What is Biomedical Big Data?
2. Biomedical Big Data
1) Genetic Data
2) Electrical Health Records
3) National Healthcare Data
4) Medical Images
5) Sensor/Mobile Data
6) Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
Obesity PHR Big Data - Research and Clinical ApplicationsHyung Jin Choi
1. Obesity
2. Obesity Big Data
1) Genetics
2) Environment
3) Electrical Health Record
4) Imaging
5) Mobile/Sensor
6) National Health Record
7) Social Network Service
3. Research
4. Clinical Application
'Lo último en obesidad'. Este es el título del Simposio Internacional que organizamos en la Fundación Ramón Areces los días 1 y 2 de diciembre de 2015. En colaboración con la Fundación General CSIC, reunió a algunos de los mayores expertos en la materia para analizar cómo reducir este grave problema de salud pública.
2019 02-21 Oxford Global 14th Biomarker Congress, Manchester, Alain van GoolAlain van Gool
Outline of innovations in clinical X-omics approaches towards personalized diagnostics in our clinical laboratory, presented for an audience of experienced diagnostic and pharmaceutical biomarker scientists.
From Pregnancy to Menopause: Studies of Physical Activity, Behavior, and Ener...InsideScientific
Join Sharon Ladyman, PhD and Vicki Vieira-Potter, PhD as they present applications of rodent metabolic phenotyping with a focus on the effects of hormones and pregnancy on daily activity in mice.
A reduction in voluntary physical activity during pregnancy in mice is mediated by prolactin
Sharon Ladyman, PhD
Pregnancy is an energetically demanding challenge for the mother and as such, pregnant females undergo numerous metabolic adaptations to meet these demands, including increased food intake and a rapid lowering of energy expenditure and physical activity levels. A particularly striking example is a profound reduction in voluntary running wheel activity (RWA) that occurs as soon as mice become pregnant. We hypothesized that prolactin, one of the first hormones to increase in response to mating in rodents, drives the pregnancy-induced suppression of physical activity levels.
Neuronal and Metabolic Pathways Influenced by Sex Hormones
Vicki Vieira-Potter, PhD
Estrogen-sufficient females are more physically active than males and are protected against adipose tissue and systemic metabolic dysfunction. The mechanisms are not fully understood, but we demonstrate that ovarian removal causes significant mRNA changes in the nucleus accumbens (NAc) brain region (i.e., the reward center), which correlate significantly with physical inactivity. We hypothesize that sex differences in the NAc may help explain differences in physical activity and metabolism.
Obesity PHR Big Data - Research and Clinical ApplicationsHyung Jin Choi
1. Obesity
2. Obesity Big Data
1) Genetics
2) Environment
3) Electrical Health Record
4) Imaging
5) Mobile/Sensor
6) National Health Record
7) Social Network Service
3. Research
4. Clinical Application
'Lo último en obesidad'. Este es el título del Simposio Internacional que organizamos en la Fundación Ramón Areces los días 1 y 2 de diciembre de 2015. En colaboración con la Fundación General CSIC, reunió a algunos de los mayores expertos en la materia para analizar cómo reducir este grave problema de salud pública.
2019 02-21 Oxford Global 14th Biomarker Congress, Manchester, Alain van GoolAlain van Gool
Outline of innovations in clinical X-omics approaches towards personalized diagnostics in our clinical laboratory, presented for an audience of experienced diagnostic and pharmaceutical biomarker scientists.
From Pregnancy to Menopause: Studies of Physical Activity, Behavior, and Ener...InsideScientific
Join Sharon Ladyman, PhD and Vicki Vieira-Potter, PhD as they present applications of rodent metabolic phenotyping with a focus on the effects of hormones and pregnancy on daily activity in mice.
A reduction in voluntary physical activity during pregnancy in mice is mediated by prolactin
Sharon Ladyman, PhD
Pregnancy is an energetically demanding challenge for the mother and as such, pregnant females undergo numerous metabolic adaptations to meet these demands, including increased food intake and a rapid lowering of energy expenditure and physical activity levels. A particularly striking example is a profound reduction in voluntary running wheel activity (RWA) that occurs as soon as mice become pregnant. We hypothesized that prolactin, one of the first hormones to increase in response to mating in rodents, drives the pregnancy-induced suppression of physical activity levels.
Neuronal and Metabolic Pathways Influenced by Sex Hormones
Vicki Vieira-Potter, PhD
Estrogen-sufficient females are more physically active than males and are protected against adipose tissue and systemic metabolic dysfunction. The mechanisms are not fully understood, but we demonstrate that ovarian removal causes significant mRNA changes in the nucleus accumbens (NAc) brain region (i.e., the reward center), which correlate significantly with physical inactivity. We hypothesize that sex differences in the NAc may help explain differences in physical activity and metabolism.
Continuous Glucose Monitoring and Glycemic Variability in PregnancyInsideScientific
Join Caroline Wuyts, MSc for a deep dive into her research on pregnancy and monitoring glucose availability throughout the reproductive timeline of a mouse model.
Pregnancy is a physiological challenge for the female body. Metabolic adaptations are necessary to maintain the balance between maternal and fetal growth. To gain insight in these pregnancy-induced adaptations, continuous glucose was monitored in mice via telemetric transmitters.
Caroline’s group investigated the effect of telemetry on pregnancy outcome by comparing mice with an implanted transmitter and mice that underwent a sham surgery. They developed an overview of glucose tolerance before, during and after pregnancy by performing oral glucose tolerance tests. Glycemic variability was monitored continuously using camera surveillance, and it was determined that continuous glucose monitoring is a safe method that provides insight into glycemic control during pregnancy with unprecedented detail.
Key Topics Include:
Appreciate that telemetric implants do not have an influence on pregnancy and that they understand how glycemia adapts to pregnancy in mice.
Acknowledge that continuous glucose monitoring combined with camera surveillance is a suitable method to monitor glycemic variability.
Recognize that healthy mice during a full pregnancy develop adaptations in glucose homeostasis reminiscent of those in pregnant women.
Calories, Carbs, or Quality? What Matters Most for Body WeightInsideScientific
To learn more and watch the webinar, visit:
https://insidescientific.com/webinar/calories-carbs-quality-what-matters-most-for-body-weight-obesity-series-2020
Eating fat makes you fat. No, eating carbs makes you fat. Actually, it’s a simple equation relating calories in and calories out. Such endless debates about putative dietary culprits or cures for obesity have led to widespread public confusion and mistrust in nutrition science. But what is the truth?
During this webinar, Dr. Kevin Hall discusses the physiology of body weight regulation and how we adapt to various changes in diet, including the amount of calories, carbs versus fat, as well as differences in diet quality varying in the amounts of “ultra-processed” foods. Understanding the dynamics of human body weight change has important consequences for conditions such as obesity, diabetes, cardiovascular disease, starvation, and wasting syndromes such as anorexia nervosa and cancer cachexia.
Key discussion topics include:
– Understand how body weight is regulated as part of a negative feedback control system
– Understand how the body responds to diets with wide variation in their ratio of carbohydrate to fat
– Understand how the body responds to diets varying in quality as determined by their amount of ultra-processed foods
BOOSTING YOUR IMMUNITY During the COVID 19 PandemicLouis Cady, MD
In this presentation, presented as a live webinar on Monday, April 27th, Dr. Louis Cady of the Cady Wellness Institute reviewed practical, common-sense things that can be done to boost your immunity, with documentation from the peer-reviewed medical literature. Dr. Cady also reviews supplements and nutrients that are established in the peer-reviewed medical literature as having antiviral capabilities. These include Vitamins C,D, and E, Zinc, carotenoids and antioxidants, probiotics, the reishi mushroom, elderberry, cannabidiol (CBD - not marijuana or weed!).
Points presented are scrupulously documented from the medical literature. This presentation does not guarantee or represent that using ANY of these nutrients will "keep you from getting infected or dying" from COVID 19. They are presented for your thoughtful consideration.
A Case Study on Ayurvedic Management of Cervical Spondylosis W.S.R to Manyast...YogeshIJTSRD
Cervical spondylosis is a very common condition seen now a day. It is estimated that 9 out of 10 adults will have some degree of cervical spondylosis. Degeneration of cervical vertebrae is mostly seen in elderly people but now a days due to over use of computer technology most of people develop cervical spondylosis. In the present case study, a diagnosed case of cervical spondylosis has been included for its ayurvedic management. Chief complains were pain and stiffness over the neck since 6 months and pain over the neck was radiating towards the right arm. Externally Manyabasti and Patra pottali sweda was given and during this procedure ayurvedic medicine also given. Different parameters have been assessed before and after the treatment schedule. There is a complete relief in the parameters like neck pain and stiffness whereas the parameters like pain in arm and vertigo has also shown significant improvement. Dr. Hemant Pundalikrao Charde | Dr. Pranam Suresh Kharche "A Case Study on Ayurvedic Management of Cervical Spondylosis W.S.R to Manyastambha" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43774.pdf Paper URL: https://www.ijtsrd.com/medicine/ayurvedic/43774/a-case-study-on-ayurvedic-management-of-cervical-spondylosis-wsr-to-manyastambha/dr-hemant-pundalikrao-charde
Effect of Genotype on Body Conformation and Udder Morphometrics in Milking Da...YogeshIJTSRD
Bodyweight is one of most important economical traits in dairy cattle and is affected by different environmental factors. One of genetic factors that affects cow conformation traits, is the breed effect. The aim in this study was to determine how breed of cattle affect morphological traits in cattle. In this study, bodyweight BW , seven body traits Body weight, BW Body condition score, BCS stature, ST chest width, CW body depth, BD heart girth, HG rump width, RW , five udder traits chest ligament, CL rear udder height, RUH rear udder width, RUW udder clearance, UC teat length, TL were analyzed. Analysis of variance procedures of R 3.0.3 statistical software was used to test the breed and significance difference in means were separated using Tukey test. In hot climate of Kwara State, the effects of genotype significantly influence body weight, body depth, heart girth and rear udder depth. The crosses of Holstein Friesian and Jersey were more superior to its crossbred’s cows. It is concluded that Holstein and Jersey crosses should be use for genetic improvement programs targeted at improving meat and milk production. Omoniwa D. O | Okeke R. O | Adeniyi, O. O | Oladipo M. F | J. M Madu | D. S. Bunjah Umar "Effect of Genotype on Body Conformation and Udder Morphometrics in Milking Dairy Cows in Humid Tropical Conditions of Kwara State" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43747.pdf Paper URL: https://www.ijtsrd.com/medicine/other/43747/effect-of-genotype-on-body-conformation-and-udder-morphometrics-in-milking-dairy-cows-in-humid-tropical-conditions-of-kwara-state/omoniwa-d-o
The Role of Gedunin Against Aquaporin 2 for the Possible Treatment of Diabete...YogeshIJTSRD
Diabetes is one of the major causes of death in the world, affecting around 422 million people or 8.5 percent of the worlds population . Diabetes mellitus, or diabetes, is a disease that causes excessive blood sugar levels. Diabetes mellitus is a condition where a person does not produce enough insulin or does not link directly to insulin, and resulting in excessively high blood sugar glucose levels. Diabetes is classified into several types Prediabetes, Type 1 diabetes, Type 2 diabetes and gestational diabetes. In diabetes research, numerous bioinformatics technologies are used. The current research was carried to study the effect of naturally occurring compounds against Aquaporin 2 as the target protein molecule with the help of molecular docking for diabetes diagnosis. AQP2 is found in the apical cell of the main ducts of the kidney and in the vesicles intracellular in the cells. Docking experiment were performed out by using aquaporin 2 4nef . The technique of molecular docking was utilized to investigate the potential of naturally occurring compounds such as aglycone, gedunin, and harman with the target protein Aquaporin 2 4nef . In diabetes, gedunin may function as a therapeutic drug against the disease causing protein Aquaporin 2 4nef . Further research and then certain clinical and pre clinical studies may be allowed to discover drugs that can be used to treat diabetes. Ayushi Chaudhary | Noopur Khare | Tripti Bhatnagar | Abhimanyu Kumar Jha "The Role of Gedunin Against Aquaporin 2 for the Possible Treatment of Diabetes: An In Silico Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43788.pdf Paper URL: https://www.ijtsrd.com/biological-science/biotechnology/43788/the-role-of-gedunin-against-aquaporin-2-for-the-possible-treatment-of-diabetes-an-in-silico-study/ayushi-chaudhary
Prevention of Type 2 Diabetes Mallitus A Focus on Physical Activity and Lifes...YogeshIJTSRD
Diabetes is a costly disease affecting 387 million individuals globally and 28 million in the United States. Its precursor, prediabetes, Exercise is important to help prevent type 2 diabetes and has so many other benefits. It can help you keep lost weight off, and improve your heart health, and if you’re insulin resistant, it can help increase your bodys response to insulin exercise so you will have better blood glucose control. Drinking water throughout the day is always good to keep your organs and skin healthy. Of course, getting some fluid before, during and after exercise is just as important to avoid becoming dehydrated. Laxmi Kumari Yadav "Prevention of Type 2 Diabetes Mallitus: A Focus on Physical Activity and Lifestyle Changes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43839.pdf Paper URL: https://www.ijtsrd.com/biological-science/zoology/43839/prevention-of-type-2-diabetes-mallitus-a-focus-on-physical-activity-and-lifestyle-changes/laxmi-kumari-yadav
AppTrim® is a medical food manufactured in a cGMP certified facility in the United States, that is specially formulated to manage the increased nutritional requirements of obesity. AppTrim provides the specific amino acids and nutrients required by the body to stimulate the production of key neurotransmitters responsible for controlling appetite, hunger and satiety. AppTrim is clinically proven to reduce appetite, carbohydrate cravings and weight when used in addition to a daily exercise and nutrition plan
우리 몸은 체중, 체온, 혈압, 혈당, 전해질, 체액양 등을 일정하게 유지하는 항상성 조절 기능이 있다. 특히 특정 체중 조절점 (body weight set point)으로 체중을 일정하게 유지하는 기능은 비만의 병인에도 중요한 역할을 하고, 비만 치료에 있어서 문제가 되는 요요현상에서도 중요한 역할을 한다. 체중 조절점은 어떤 생물학적 기전으로 이루어지며, 잘 변하지 않는 체중 조절점이 어떤 기전으로 가변적이 될 수 있는지 알아보고자 한다. 또한, 이런 기전을 실제 비만클리닉에서 어떻게 적용할 수 있을지 살펴보고자 한다.
Continuous Glucose Monitoring and Glycemic Variability in PregnancyInsideScientific
Join Caroline Wuyts, MSc for a deep dive into her research on pregnancy and monitoring glucose availability throughout the reproductive timeline of a mouse model.
Pregnancy is a physiological challenge for the female body. Metabolic adaptations are necessary to maintain the balance between maternal and fetal growth. To gain insight in these pregnancy-induced adaptations, continuous glucose was monitored in mice via telemetric transmitters.
Caroline’s group investigated the effect of telemetry on pregnancy outcome by comparing mice with an implanted transmitter and mice that underwent a sham surgery. They developed an overview of glucose tolerance before, during and after pregnancy by performing oral glucose tolerance tests. Glycemic variability was monitored continuously using camera surveillance, and it was determined that continuous glucose monitoring is a safe method that provides insight into glycemic control during pregnancy with unprecedented detail.
Key Topics Include:
Appreciate that telemetric implants do not have an influence on pregnancy and that they understand how glycemia adapts to pregnancy in mice.
Acknowledge that continuous glucose monitoring combined with camera surveillance is a suitable method to monitor glycemic variability.
Recognize that healthy mice during a full pregnancy develop adaptations in glucose homeostasis reminiscent of those in pregnant women.
Calories, Carbs, or Quality? What Matters Most for Body WeightInsideScientific
To learn more and watch the webinar, visit:
https://insidescientific.com/webinar/calories-carbs-quality-what-matters-most-for-body-weight-obesity-series-2020
Eating fat makes you fat. No, eating carbs makes you fat. Actually, it’s a simple equation relating calories in and calories out. Such endless debates about putative dietary culprits or cures for obesity have led to widespread public confusion and mistrust in nutrition science. But what is the truth?
During this webinar, Dr. Kevin Hall discusses the physiology of body weight regulation and how we adapt to various changes in diet, including the amount of calories, carbs versus fat, as well as differences in diet quality varying in the amounts of “ultra-processed” foods. Understanding the dynamics of human body weight change has important consequences for conditions such as obesity, diabetes, cardiovascular disease, starvation, and wasting syndromes such as anorexia nervosa and cancer cachexia.
Key discussion topics include:
– Understand how body weight is regulated as part of a negative feedback control system
– Understand how the body responds to diets with wide variation in their ratio of carbohydrate to fat
– Understand how the body responds to diets varying in quality as determined by their amount of ultra-processed foods
BOOSTING YOUR IMMUNITY During the COVID 19 PandemicLouis Cady, MD
In this presentation, presented as a live webinar on Monday, April 27th, Dr. Louis Cady of the Cady Wellness Institute reviewed practical, common-sense things that can be done to boost your immunity, with documentation from the peer-reviewed medical literature. Dr. Cady also reviews supplements and nutrients that are established in the peer-reviewed medical literature as having antiviral capabilities. These include Vitamins C,D, and E, Zinc, carotenoids and antioxidants, probiotics, the reishi mushroom, elderberry, cannabidiol (CBD - not marijuana or weed!).
Points presented are scrupulously documented from the medical literature. This presentation does not guarantee or represent that using ANY of these nutrients will "keep you from getting infected or dying" from COVID 19. They are presented for your thoughtful consideration.
A Case Study on Ayurvedic Management of Cervical Spondylosis W.S.R to Manyast...YogeshIJTSRD
Cervical spondylosis is a very common condition seen now a day. It is estimated that 9 out of 10 adults will have some degree of cervical spondylosis. Degeneration of cervical vertebrae is mostly seen in elderly people but now a days due to over use of computer technology most of people develop cervical spondylosis. In the present case study, a diagnosed case of cervical spondylosis has been included for its ayurvedic management. Chief complains were pain and stiffness over the neck since 6 months and pain over the neck was radiating towards the right arm. Externally Manyabasti and Patra pottali sweda was given and during this procedure ayurvedic medicine also given. Different parameters have been assessed before and after the treatment schedule. There is a complete relief in the parameters like neck pain and stiffness whereas the parameters like pain in arm and vertigo has also shown significant improvement. Dr. Hemant Pundalikrao Charde | Dr. Pranam Suresh Kharche "A Case Study on Ayurvedic Management of Cervical Spondylosis W.S.R to Manyastambha" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43774.pdf Paper URL: https://www.ijtsrd.com/medicine/ayurvedic/43774/a-case-study-on-ayurvedic-management-of-cervical-spondylosis-wsr-to-manyastambha/dr-hemant-pundalikrao-charde
Effect of Genotype on Body Conformation and Udder Morphometrics in Milking Da...YogeshIJTSRD
Bodyweight is one of most important economical traits in dairy cattle and is affected by different environmental factors. One of genetic factors that affects cow conformation traits, is the breed effect. The aim in this study was to determine how breed of cattle affect morphological traits in cattle. In this study, bodyweight BW , seven body traits Body weight, BW Body condition score, BCS stature, ST chest width, CW body depth, BD heart girth, HG rump width, RW , five udder traits chest ligament, CL rear udder height, RUH rear udder width, RUW udder clearance, UC teat length, TL were analyzed. Analysis of variance procedures of R 3.0.3 statistical software was used to test the breed and significance difference in means were separated using Tukey test. In hot climate of Kwara State, the effects of genotype significantly influence body weight, body depth, heart girth and rear udder depth. The crosses of Holstein Friesian and Jersey were more superior to its crossbred’s cows. It is concluded that Holstein and Jersey crosses should be use for genetic improvement programs targeted at improving meat and milk production. Omoniwa D. O | Okeke R. O | Adeniyi, O. O | Oladipo M. F | J. M Madu | D. S. Bunjah Umar "Effect of Genotype on Body Conformation and Udder Morphometrics in Milking Dairy Cows in Humid Tropical Conditions of Kwara State" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43747.pdf Paper URL: https://www.ijtsrd.com/medicine/other/43747/effect-of-genotype-on-body-conformation-and-udder-morphometrics-in-milking-dairy-cows-in-humid-tropical-conditions-of-kwara-state/omoniwa-d-o
The Role of Gedunin Against Aquaporin 2 for the Possible Treatment of Diabete...YogeshIJTSRD
Diabetes is one of the major causes of death in the world, affecting around 422 million people or 8.5 percent of the worlds population . Diabetes mellitus, or diabetes, is a disease that causes excessive blood sugar levels. Diabetes mellitus is a condition where a person does not produce enough insulin or does not link directly to insulin, and resulting in excessively high blood sugar glucose levels. Diabetes is classified into several types Prediabetes, Type 1 diabetes, Type 2 diabetes and gestational diabetes. In diabetes research, numerous bioinformatics technologies are used. The current research was carried to study the effect of naturally occurring compounds against Aquaporin 2 as the target protein molecule with the help of molecular docking for diabetes diagnosis. AQP2 is found in the apical cell of the main ducts of the kidney and in the vesicles intracellular in the cells. Docking experiment were performed out by using aquaporin 2 4nef . The technique of molecular docking was utilized to investigate the potential of naturally occurring compounds such as aglycone, gedunin, and harman with the target protein Aquaporin 2 4nef . In diabetes, gedunin may function as a therapeutic drug against the disease causing protein Aquaporin 2 4nef . Further research and then certain clinical and pre clinical studies may be allowed to discover drugs that can be used to treat diabetes. Ayushi Chaudhary | Noopur Khare | Tripti Bhatnagar | Abhimanyu Kumar Jha "The Role of Gedunin Against Aquaporin 2 for the Possible Treatment of Diabetes: An In Silico Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43788.pdf Paper URL: https://www.ijtsrd.com/biological-science/biotechnology/43788/the-role-of-gedunin-against-aquaporin-2-for-the-possible-treatment-of-diabetes-an-in-silico-study/ayushi-chaudhary
Prevention of Type 2 Diabetes Mallitus A Focus on Physical Activity and Lifes...YogeshIJTSRD
Diabetes is a costly disease affecting 387 million individuals globally and 28 million in the United States. Its precursor, prediabetes, Exercise is important to help prevent type 2 diabetes and has so many other benefits. It can help you keep lost weight off, and improve your heart health, and if you’re insulin resistant, it can help increase your bodys response to insulin exercise so you will have better blood glucose control. Drinking water throughout the day is always good to keep your organs and skin healthy. Of course, getting some fluid before, during and after exercise is just as important to avoid becoming dehydrated. Laxmi Kumari Yadav "Prevention of Type 2 Diabetes Mallitus: A Focus on Physical Activity and Lifestyle Changes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43839.pdf Paper URL: https://www.ijtsrd.com/biological-science/zoology/43839/prevention-of-type-2-diabetes-mallitus-a-focus-on-physical-activity-and-lifestyle-changes/laxmi-kumari-yadav
AppTrim® is a medical food manufactured in a cGMP certified facility in the United States, that is specially formulated to manage the increased nutritional requirements of obesity. AppTrim provides the specific amino acids and nutrients required by the body to stimulate the production of key neurotransmitters responsible for controlling appetite, hunger and satiety. AppTrim is clinically proven to reduce appetite, carbohydrate cravings and weight when used in addition to a daily exercise and nutrition plan
우리 몸은 체중, 체온, 혈압, 혈당, 전해질, 체액양 등을 일정하게 유지하는 항상성 조절 기능이 있다. 특히 특정 체중 조절점 (body weight set point)으로 체중을 일정하게 유지하는 기능은 비만의 병인에도 중요한 역할을 하고, 비만 치료에 있어서 문제가 되는 요요현상에서도 중요한 역할을 한다. 체중 조절점은 어떤 생물학적 기전으로 이루어지며, 잘 변하지 않는 체중 조절점이 어떤 기전으로 가변적이 될 수 있는지 알아보고자 한다. 또한, 이런 기전을 실제 비만클리닉에서 어떻게 적용할 수 있을지 살펴보고자 한다.
An Open And Reconfigurable Wireless Sensor Network For Pervasive Health Monit...Andreas Triantafyllidis
Presentation from 2nd International Conference on Pervasive Computing Technologies for Healthcare 2008 Tampere, Finland. Parts of this work have been published in Methods of Information in Medicine Journal 2008;47(3):229-34 available at: http://www.ncbi.nlm.nih.gov/pubmed/18473089
Objectives: Sensor networks constitute the backbone for the construction of personalized monitoring systems. Up to now, several sensor networks have been proposed for diverse pervasive healthcare applications, which are however characterized by a significant lack of open architectures, resulting in closed, non-interoperable, and difficult to extend solutions. In this context, we propose an open and reconfigurable Wireless Sensor Network (WSN) for pervasive health monitoring, with particular emphasis in its easy extension with additional sensors and functionality by incorporating embedded intelligence mechanisms.
Methods: We consider a generic WSN architecture comprised of diverse sensor nodes (with communication and processing capabilities) and a Mobile Base Unit (MBU) operating as the gateway between the sensors and the medical personnel, formulating this way a Body Area Network (BAN). The primary focus of this work is on the intra-BAN data communication issues, adopting SensorML as the data representation mean, including the encoding of the monitoring patterns and the functionality of the sensor network.
Results: In our prototype implementation two sensor nodes are emulated; one for heart rate monitoring and the other for blood glucose observations, while the MBU corresponds to a Personal Digital Assistant (PDA) device. Java 2 Micro Edition (J2ME) is used to implement both the sensor nodes and the MBU components. Intra-BAN wireless communication relies on the Bluetooth protocol. Via an adaptive user interface in the MBU, Health Professionals may specify the monitoring parameters of the WSN and define the monitoring patterns of interest in terms of rules.
Conclusions: This work constitutes an essential step towards the construction of open, extensible, interoperable and intelligent WSNs for pervasive health monitoring.
Creating Content with Medieval woodcuts and a whimsical storyEBR
XIV
This one will frighten you..Only watch if you dare. From the age of the unknown and uncertain, the uncertain age... A disturbing age indeed.
http://www.erosner.com
http://www.theartpillow.com
Printing of biological organs and tissues.First the concept of 3d printing is known (not in depth),then bioprinting concept is seen.With the help of images the description can be given.
Leveraging Wikipedia-based Features for Entity Relatedness and RecommendationsNitish Aggarwal
This presentation describes three contributions of my PhD work:
1. Distributional Semantics for Entity Relatedness (DiSER)
2. Wikipedia Features for Entity Recommendations (WiFER)
3. Non-Orthogonal Explicit Semantic Analysis (NESA) for Word Relatedness
Further, it presents some of our work in collaboration with IBM Watson and Yahoo Research.
Linked data in the digital humanities skills workshop for realising the oppo...jodischneider
This workshop will introduce participants to Linked Data, a key semantic web technology, and its uses in the digital humanities. Through examples of Linked Data websites and applications, we will explore how Linked Data is being used by individual digital humanities scholars, by organisations such as the BBC and the Central Statistics Office, and by cultural heritage institutions worldwide. We will make comparisons to other approaches to structuring data (including markup and metadata approaches such as TEI and XML) and discuss best practices for creating and reusing Linked Data (such as the importance of identifiers and standard vocabularies). Participants will also be introduced to tools for creating and exploring Linked Data. The workshop will also include a hands-on exercise in creating Linked Data.
Linked Data in the Digital Humanities was a Skills Workshop
http://dri.ie/skills-workshops
part of Realising the Opportunities of Digital Humanities
http://dri.ie/realising-opportunities-digital-humanities
Presenters: Jodi Schneider and Michael Hausenblas
with support from
Stefan Decker, Nuno Lopes, and Bahareh Heravi
all of the Digital Enterprise Research Institute, National University of Ireland Galway
Presented at the Workshop on the Potential of Social Media Tools and Data in the News Media Industry (SocMedNews) of the 6th International Conference on Weblogs and Social Media (ICWSM 12).
Brief presentation on social media conversations at the 4th Research Data Alliance (RDA) Plenary. Amsterdam, Sept. 21-24, 2014.
For more information see https://rd-alliance.org/plenary-meetings/fourth-plenary/communications-social-media.html
- 의료 빅데이터 - 개념 입문과 임상의사가 할 수 있는 일
빅데이터 개념 입문과
의료와 관계된 빅데이터 종류와 활용 방법
진료와 연구에 활용할 수 있는 방법을
임상의사의 관점에서 다루었습니다.
1. What is Big Data?
2. Healthcare Big Data
1) Electrical Health Records (EHR) Structured/Unstructured Data
2) Medical Images
3) National Healthcare Data
4) Behavior/Sensor Data
5) Genetic Data
3. Clinical and Research Applications
The Present and Future of Personal Health Record and Artificial Intelligence ...Hyung Jin Choi
1. Why Personal Health Record and Artificial Intelligence ?
2. Obesity Example
3. Personal Health Record
1) Genetic Data
2) Electrical Health Records
3) National Healthcare Data
4) Medical Images
5) Sensor/Mobile Data
6) Data Integration
4. PHR+AI Applications
Presenter: Marina Sirota, UCSF
Recent advances in genome typing and sequencing technologies have enabled quick generation of a vast amount of molecular data at very low cost. The mining and computational analysis of this type of data can help shape new diagnostic and therapeutic strategies in biomedicine. In this talk, I will discuss how such technological advances in combination with data science and integrative analysis can be applied to drug discovery in the context of drug target identification, computational drug repurposing, and population stratification approaches.
"Hacking the Software for Life" - Brad Perkins (Chief Medical Officer, Human ...Hyper Wellbeing
"Hacking the Software for Life" - Brad Perkins (Chief Medical Officer, Human Logevity, Inc.)
Delivered at the inaugural Hyper Wellbeing Summit, 14th November 2016, Mountain View, California.
For more information including details of subsequent events, please visit http://hyperwellbeing.com
The summit was created to foster a community around an emerging industry - Wellness as a Service (WaaS). Consumer technologies, in particular wearables and mobile, are powering a consumer revolution. A revolution to turn health and wellness into platform delivered services. A revolution enabling consumer data-driven disease risk reduction. A revolution extending health care past sick care towards consumer-led lifelong health, wellness and lifestyle optimization.
WaaS newsletter sign-up http://eepurl.com/b71fdr
@hyperwellbeing
2015 04-13 Pharma Nutrition 2015 Philadelphia Alain van GoolAlain van Gool
Keynote lecture at the Pharma-Nutrition 2015 conference, outline global paradigm shifts and activities in pharma, personalized healthcare and pharmanutrition combination therapies.
Personalized medicine involves the prescription of specific therapeutics best suited for an individual based on their genetic or proteomic profile. This talk discusses current approaches in drug discovery/development, the role of genetics in drug metabolism, and lawful/ethical issues surrounding the deployment of new health technology. I highlight some bioinformatic roles in the drug discovery process, and discuss the use of semantic web technologies for data integration and knowledge discovery..
iCAAD London 2019 - Antonio Metastasio - PERSONALISED MEDICINE IN THE TREATM...iCAADEvents
Personalised medicine is considered the next frontier of health care. The role of genetic testing in psychiatry and in addictions medicine, however, has been recently critically reviewed. Are genetic tests helpful in assessing and managing these conditions?
"How Scientific Wellness will Drive The Future of Health" - Nathan Price (Pro...Hyper Wellbeing
"How Scientific Wellness will Drive The Future of Health" - Nathan Price (Professor, Institute of Systems Biology)
Delivered at the inaugural Hyper Wellbeing Summit, 14th November 2016, Mountain View, California.
For more information including details of subsequent events, please visit http://hyperwellbeing.com
The summit was created to foster a community around an emerging industry - Wellness as a Service (WaaS). Consumer technologies, in particular wearables and mobile, are powering a consumer revolution. A revolution to turn health and wellness into platform delivered services. A revolution enabling consumer data-driven disease risk reduction. A revolution extending health care past sick care towards consumer-led lifelong health, wellness and lifestyle optimization.
WaaS newsletter sign-up http://eepurl.com/b71fdr
@hyperwellbeing
Anti-Obesity Pharmacotherapy: Where are we now? Where are we going?InsideScientific
Obesity is a treatable chronic disease. With nearly 2 billion individuals worldwide classified as being overweight and 650 million as having obesity, it is critical to optimize implementation of existing treatment interventions and develop novel therapies to mitigate the obesity pandemic. Anti-obesity medications are one of the essential tools in our medical toolbox to help patients achieve their health and weight goals.
In this webinar, Dr. Jastreboff discusses current use of anti-obesity pharmacotherapy, mechanisms involved, and agents in various stages of development with considerations for next steps. The presentation aims to inspire development of innovative therapeutics while optimizing use of existing agents to address the urgent need to effectively and sustainably treat millions of individuals with obesity around the world.
Key Topics Include:
- Understand the role of anti-obesity pharmacotherapy in the treatment of obesity
- Describe current anti-obesity pharmacotherapy
- Discuss anti-obesity medications under development
Similar to Biomedical big data and research clinical application for obesity (20)
1. What is Stress?
2. Mechanism
Neuro-Anatomy of Stress
Neuro-Endocrine of Stress
Inflammation and Stress
3. Stress and Disease
Stress and Food Addiction
4. Stress and Central Regulation of Metabolism
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
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.
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2. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
2
3. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
3
26. 1000 개의 질병들
Bioinformatics. 2010 PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.
Phenotype-wide Association Study
32. New Role of Biomedical Big Data
Classical Approach
Large scale
(unstructured)
data
Summary
(Modify)
Classical hypothesis driven study
Novel Approach
Hypothesis Generating Study
33. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
33
36. Tissue Specific Expression
Comprehensive Catalogues of Genomic Data
Variation in the human genome
Mendelian (monogenic) diseases
(N=22,432)
Whole genome sequencing (N=1,000)
Four ethnic groups
(CEU, YRI, JPT, CHB, N=270)
GWAS catalog
Complex (multigenic) traits
(1926 publications and 13410 SNPs)
Disease-related variations
Functional elements
2014-06-29
36
37. Disease genetic susceptibility
Cancer driver
somatic mutation
Pharmacogenomics
Targeted
Cancer Treatment
(EGFR)
Causal
Variant
Targeted Drug
(MODY-SU)
Drug Efficacy/Side Effect
Related Genotype
(CYP, HLA)
Genetic Diagnosis
(Mendelian,
Cystic fibrosis)
Molecular
Classification
- Prognosis
(Leukemia)
Hereditary
Cancer
(BRCA)
Microbiome
(Bacteria,
Virus)
Genomic Medicine
Risk prediction
(Complex disease,
Diabetes)
Germline Variants
Fetal DNA
45. Influence of Genetics on Human Disease
For any condition the overall balance of g
enetic and environmental determinants ca
n be represented by a point somewhere w
ithin the triangle.
45
Single
Locus /
Mendelian
Multiple
Loci or multi-
chromosomal
Environmental
Cystic Fibrosis
Hemophilia A
Examples:
Alzheimer’s Disease
Type II Diabetes
Cardiovascular Disease
Diet
Carcinogens
Infections
Stress
Radiation
Lifestyle
Gene = F8
Gene= CFTR
F8 = Coagulation Factor VIII
CFTR = Cystic Fibrosis Conductance Transmembrane Regulator
Lung Cancer
71. Pharmacogenetic Tests: Hyung Jin Choi
No
Drug
(N= 10)
Gene
(6 genes=8 bioma
rkers)
Target SNPs
(N=12)
#5
(HJC)
Genotype Interpretation Clinical Interpretation
1 Clopidogrel CYP2C19
rs4244285 (G>A) GG
*1/*1
(EM)
Use standard dosers4986893 (G>A) GG
rs12248560 (C>T) CC
2 Warfarin
VKORC1 rs9923231 (C>T) TT
Low dose
(higher risk of bleeding)
Warfarin dose=0.5~2 mg/day
CYP2C9
rs1799853 (C>T) CC
rs1057910 (A>C) AC
3 Simvastatin SLCO1B1 rs4149056 (T>C) TT Normal
4
Azathioprine (AP),
MP, or TG
TPMT rs1142345 (A>G) AA Normal
5
Carbamazepine
or Phenytoin
HLA-B*1502
rs2844682 (C>T) CT
Normal
rs3909184 (C>G) CC
6 Abacavir HLA-B*5701 rs2395029 (T>G) TT Normal
7 Allopurinol HLA-B*5801 rs9263726 (G>A) GG Normal
Clopidogrel1)
: UM/EM=standard dose, IM/PM= consider alternative antiplatelet agent (eg. prasugrel/ticagrelor)
Warfarin2)
: high dose=5~7 mg/day, medium dose=3~4 mg/day, low dose=0.5~2 mg/day
=0
Hyung Jin Choi
+1,000,000
?
72. Future of Genomic Medicine?
Test when neededWithout information Know your type
Blood
type
Geno
type
Here is my
sequence
73. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
73
74. Electronic Health Records
2012 NRG Mining electronic health records- towards better research applications and clinical care
74
75. Common EHR Data
Joshua C. Denny Chapter 13: Mining Electronic Health Records in the Genomics Era. PLoS Comput Biol. 2012 December; 8(12):
International Classification of Diseases (ICD)
Current Procedural Terminology (CPT)
75
84. 밤동안 저혈당수면 Lt.foot rolling Keep떨림,
식은땀, 현기증, 공복감, 두통, 피로감등의 저혈
당 에 저혈당 이 있을 즉알려주도록 밤사이 특
이호소 수면유지상처와 통증 상처부위 출혈
oozing, severe pain 알리도록 고혈당 처방된 당
뇨식이의 중요성과 간식을 자제하도록 .고혈
당 ,,관리 방법 .당뇨약 이해 잘 하고 수술부위
oozing Rt.foot rolling keep드레싱 상태를 고혈
당 고혈당 의식변화 BST 387 checked.고혈당
으로 인한 구강 내 감염 위해 식후 양치, gargle
등 구강 위생 격려.당뇨환자의 발관리 방법에 .
목표 혈당, 목표 당화혈색소에 .식사를 거르거
나 지연하지 않도록 .식사요법, 운동요법, 약물
요법을 정확히 지키는 것이 중요을 .처방된 당
뇨식이의 중요성과 간식을 자제하도록 .고혈
당 ,,관리 방법 .혈당 정상 범위임rt foot rolling
중으로 pain호소 밤사이 수면양호걱정신경 예
민감정변화 중임감정을 표현하도록 지지하고
경청기분상태 condition 조금 나은 듯 하다고 혈
당 조절과 관련하여 신경쓰는 모습 보이며 혈당
self로 측정하는 모습 보임혈당 조절에 안내하
고 불편감 지속알리도록고혈당 고혈당 의식변
화 고혈당 허약감 지남력 혈당조절 안됨고혈당
으로 인한 구강 내 감염 위해 식후 양치, gargle
등 구강 위생 격려.당뇨환자의 정기점검 내용과
빈도에 .BST 140 으로 저혈당 호소 밤동안 저
혈당수면 Lt.foot rolling Keep떨림, 식은땀, 현
기증, 공복감, 두통, 피로감등의 저혈당 에 저
혈당 이 있을 즉알려주도록 pain 및 불편감 호
소 WA 잘고혈당 고혈당 의식변화 고혈당 허
약감 지남력 혈당조절 안됨식사요법, 운동요법,
약물요법을 정확히 지키는 것이 중요을 .저혈당
/고혈당 과 대처법에 .혈당정상화, 표준체중의
유지, 정상 혈중지질의 유지에 .고혈당 ,,관리
방법 .혈당측정법,인슐린 자가 투여법, 경구투
약,수분 섭취량,대체 탄수화물,의료진의 도움이
필요한 사항에 교혈당 정상 범위임수술부위
oozing Rt.foot rolling keep수술 부위 (출혈, 통
증, 부종)수술부위 출혈 상처부위 oozing
Wound 당겨지지 않도록 적절한 체위 취하기
설명감염 발생 위험 요인 수술부위 출혈 밤동안
간호기록지 Word Cloud
Natural Language Processing (NLP)84
87. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
87
92. Number of patients with medical treatments related to
osteoporosis in each calendar year
2005 2006 2007 2008
0
500
1000
1500
Male
Female
Calendar year
Number(thousand)
Choi et. Al., 2011 JBMM Burden of osteoporosis in adults in Korea- a national health insurance database study
92
93. Korean Society for
Bone and Mineral
Research
Anti-hypertensive
prescriptions
(2008-2011)
N = 8,315,709
New users
N = 2,357,908
Age ≥ 50 yrs
Monotherapy
Compliant user (MPR≥80%)
No previous fracture
N = 528,522
Prevalent users
N = 5,957,801
Excluded
Age <50
Combination therapy
Inadequate compliance
Previous fracture
N = 1,829,386
Final study population
Hypertension Medication
and Fracture
Choi et al., 2015 International Journal of Cardiology93
94. Compare Fracture Risk
Comparator?Hypertension
CCB
High
Blood Pressure
Fracture
Risk
BB
Non-
user
Healthy
Non-
user
Cohort study (Health Insurance Review & Assessment Service)
New-user design (drug-related toxicity)
Non-user comparator (hypertension without medication)
2007 20112008
Choi et al., 2015 International Journal of Cardiology94
97. Distribution of ARB MPR
(Histogram)
ARB Non-user
20
FrequencyDensity
ARB user
80 120
Medication Possession Ratio (MPR)
Total prescription days
Observation days
350 days (Prescription)
365 days (Observation)
MPR
96%
MPR (%)
Choi et al., 2015 International Journal of Cardiology97
99. Overview of secondary data in
public health by data source
보험청구자료 건강검진
NHIS (National Health Insurance Corporation): 국민건강보험공단 (보험공단)
HIRA (Health Insurance Review and Assessment Service) :건강보험심사평가원 (심평원)
통계청 암센터
J Korean Med Assoc 2014 May; 근거중심 보건의료의 시행을 위한 빅데이터 활용99
100. Big data platform model by Korea Institute of
Drug Safety and Risk Management
101. Health Insurance Database
IT-HT Convergence Research Team
101
1. Diagnosis (ICD)
2. Treatment
(1) Medication
(2) Surgery
Health Insurance Database
Classification Algorithm
Clinical
Researcher
Computational
Researcher
National Research, Novel Insight
102. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
102
112. 112
2013 Science Functional interactions as big data in the human brain
2012 Decoding subject-driven cognitive states with whole-brain connectivity patterns
116. Computer Whole Slide Image Analysis
Image normalization Image segmentation Feature extraction
2015 Laboratory Investigation. Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis
of whole slide images116
117. Integration of quantitative histology with
multifaceted clinical and genomic data
2015 Laboratory Investigation. Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis
of whole slide images117
118. Quantitative nuclear morphometry
2015 Laboratory Investigation. Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis
of whole slide images
119. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
119
123. Smart-phone based
Comprehensive Diabetes Care
Doctor
Ask Educate
Analyze
Education Nurse
Any time
Report Care
2-3 months interval
Discussion
Daily
Diet/
Exercise
Smart-phone
Database Server
Self-care
transfer
Analyze
Glucose
Glucometer
124. Date Time name foodType calories unit amount
2014-08-09 0 미역국 0 23 1국그릇 (300ml) 105 g
2014-08-09 0 잡곡밥 0 80 1/4공기 (52.5g) 52 g
2014-08-09 0 열무김치 0 3 1/4소접시 (8.75g) 9 g
2014-08-09 0 파프리카 0 6 1/2개 (33.25g) 35 g
2014-08-09 0 토란대무침 0 28 1/2소접시(46.5g) 46 g
2014-08-09 1 복숭아 0 91 1개 (269g) 268 g
2014-08-09 2 마른오징어 2 88 1/4마리 (25g) 25 g
2014-08-09 2 파프리카 0 6 1/2개 (33.25g) 35 g
2014-08-09 2 저지방우유 1 72 1컵 (200ml) 180 g
2014-08-09 2 복숭아 0 183 2개 (538g) 538 g
2014-08-09 3 복숭아 0 91 1개 (269g) 268 g
2014-08-09 3 파프리카 0 6 1/2개 (33.25g) 35 g
2014-08-09 4 파프리카 0 6 1/2개 (33.25g) 35 g
2014-08-09 4 식빵 1 92 1장 (33g) 33 g
2014-08-09 4 삶은옥수수 1 197 1개 반 (150g) 150 g
2014-08-09 4 복숭아 0 91 1개 (269g) 268 g
2014-08-09 4 저지방우유 1 72 1컵 (200ml) 180 g
2014-08-10 0 복숭아 0 91 1개 (269g) 268 g
2014-08-10 0 저지방우유 1 36 1/2컵 (100ml) 90 g
2014-08-10 0 두부 0 20 1/4인분 (25g) 25 g
2014-08-10 0 견과류 2 190 1/4 컵 (50g) 31 g
2014-08-10 0 파프리카 0 11 1개 (66.5g) 65 g
124
133. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
133
148. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
148
149. Healthcare Big Data
+ Artificial Intelligence
149
Healthcare Big Data Machine Learning
Novel Insights and Applications
152. 152
In a scan of 3,000 images, IBM
technology was able to spot
melanoma with an accuracy
of about 95 percent, much
better than the 75 percent to
84 percent average of today's
largely manual methods.
IBM Research will continue to
work with Sloan Kettering to
develop additional
measurements and
approaches to further refine
diagnosis, as well as refine
their approach through larger
sets of data.
Dec 17, 2014
153. 153
Aug. 11, 2015
IBM is betting that the same technology that
recognizes cats can identify tumors and other signs of
diseases.
In the long run, IBM and others in the field hope such
systems can become reliable advisers to
radiologists, dermatologists and other practitioners
who analyze images—especially in parts of the world
where health-care providers are scarce.
While IBM hopes Watson will learn to interpret
Merge’s images, it also expects the combination of
imagery, medical records and other data to reveal
patterns relevant to diagnosis and treatment that a
human physician may miss, ushering in an era of
computer-assisted care. Two other recent IBM
acquisitions, Phytel Inc. and Explorys Inc., yielded 50
million electronic medical records.
155. Contents
1. What is Biomedical Big Data?
2. Biomedical Big Data
① Genetic Data
② Electrical Health Records
③ National Healthcare Data
④ Medical Images
⑤ Sensor/Mobile Data
⑥ Data Integration
3. Biomedical Big Data + Artificial Intelligence
4. Research/Clinical Application for Obesity
155