lunes, 30 de septiembre de 2019

Probiotics as 'living medicine': Synthetic biology takes on gut diseases, metabolic syndromes | Genetic Literacy Project

Probiotics as ‘living medicine’: Synthetic biology takes on gut diseases, metabolic syndromes

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Genomics & Precision Health Database| the Genomics & Health Impact Weekly Scan|PHGKB

Last Update Date: Sep 30, 2019

Non-Genomics Precision Health Update

The latest information and publications on the impact of big data science, machine learning and predictive analytics on public health.

Data sharing is key to innovation in health care
MIT Tech Review, September 27, 2019
An awakening in medicine: the partnership of humanity and intelligent machines
LA Celi et al, Lancet Digital Health, September 27, 2019
Digital health: From clinical trials to diagnosis and surgery, artificial intelligence has the potential to transform medicine.
R Hodson, Nature Outlook, September 25, 2019
A fairer way forward for AI in health care
L Nordling, Nature Outlook, September 25, 2019
The future of electronic health records
J Hecht, Nature Outlook, September 25, 2019
Deep learning algorithm predicts diabetic retinopathy progression in individual patients
F Arcadu et al, NPJ Digital Medicine, September 20, 2019
Medical device surveillance with electronic health records
A Callahan et al, NPJ Digital Medicine, September 25, 2019
Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data
JJ Elm et al, NPJ Digital Medicine, September 25, 2019
Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed
The CONSORT-AI and SPIRIT-AI Steering Group, Nature Medicine, September 25, 2019
Human versus machine in medicine: can scientific literature answer the question?
TS Cook, Lancet Digital Health, September 24, 2019
A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data.
Bechel Meagan A et al. PloS one 2019 14(9) e0222826
Symptom-specific effectiveness of an internet-based intervention in the treatment of mild to moderate depressive symptomatology: The potential of network estimation techniques.
Boschloo Lynn et al. Behaviour research and therapy 2019 Aug 122103440
Machine Learning Models Identify Multimodal Measurements Highly Predictive of Transdiagnostic Symptom Severity for Mood, Anhedonia, and Anxiety.
Mellem Monika S et al. Biological psychiatry. Cognitive neuroscience and neuroimaging 2019 Jul
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes.
Bao Yujia et al. JCO clinical cancer informatics 2019 Sep 31-9
[Artificial intelligence: a benefit for patients?]
Marsico Giovanna et al. Soins; la revue de reference infirmiere 2019 Sep 64(838) 40-41
Big Data for Nutrition Research in Pediatric Oncology: Current State and Framework for Advancement.
Phillips Charles A et al. Journal of the National Cancer Institute. Monographs 2019 Sep 2019(54) 127-131
Machine learning in psychiatry- standards and guidelines.
Tandon Neeraj et al. Asian journal of psychiatry 2019 Sep
Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records.
Wu Chi-Shin et al. Journal of affective disorders 2019 Sep 260617-623
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.
Ghavami Nooshin et al. Medical image analysis 2019 Sep 58101558
Machine learning for radiomics-based multi-modality and multi-parametric modeling.
Wei Lise et al. The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... 2019 Sep

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Disclaimer: Articles listed in Non-Genomics Precision Health Update are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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For nearly a decade the 2010 National Vaccine Plan (NVP) has served as the nation's leading roadmap for enhancing all aspects of the U.S. vaccine and immunization system. To ensure the NVP remains nimble to the evolving vaccine and immunization landscape, the U.S. Department of Health and Human Services (HHS) is leading the development of the 2020 National Vaccine Plan. The updated plan will reflect immunization across the lifespan and guide priority actions for the period 2020-2025.

As part of that process, the HHS Office of Infectious Disease and HIV/AIDS Policy (OIDP) has issued a Request for Information to solicit input from subject matter experts and non-federal stakeholders on potential priorities, goals, and objectives for the plan.

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#PainAwarenessMonth - Búsqueda en Twitter / Twitter

#PainAwarenessMonth - Búsqueda en Twitter / Twitter

MedlinePlus Trusted Health Information for You

Pain

MEDICAL ENCYCLOPEDIA

National Institutes of Health

The primary NIH organization for research on Pain is the National Institute of Neurological Disorders and Stroke

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Summary

Pain is a signal in your nervous system that something may be wrong. It is an unpleasant feeling, such as a prick, tingle, sting, burn, or ache. Pain may be sharp or dull. It may come and go, or it may be constant. You may feel pain in one area of your body, such as your back, abdomen, chest, pelvis, or you may feel pain all over.

Pain can be helpful in diagnosing a problem. If you never felt pain, you might seriously hurt yourself without knowing it, or you might not realize you have a medical problem that needs treatment.

There are two types of pain: acute and chronic. Acute pain usually comes on suddenly, because of a disease, injury, or inflammation. It can often be diagnosed and treated. It usually goes away, though sometimes it can turn into chronic pain. Chronic pain lasts for a long time, and can cause severe problems.

Pain is not always curable, but there are many ways to treat it. Treatment depends on the cause and type of pain. There are drug treatments, including pain relievers. There are also non-drug treatments, such as acupuncture, physical therapy, and sometimes surgery.

NIH: National Institute of Neurological Disorders and Stroke

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Pain (Merck & Co., Inc.)Also in Spanish
Pain Management (American Society of Anesthesiologists)
Pain: Hope through Research (National Institute of Neurological Disorders and Stroke)Also in Spanish

Treatments and Therapies

Magnets for Pain Relief (National Center for Complementary and Integrative Health)
Managing Pain: Moving Beyond Opioids (National Institutes of Health)Also in Spanish
Non-Drug Pain Relief: Imagery (Ohio State University Medical Center) - PDF
Osteopathic Manipulative Treatment (American Osteopathic Association)
Pain (National Center for Complementary and Integrative Health)
Pain Relievers: MedlinePlus Health Topic (National Library of Medicine)Also in Spanish
Pain: Considering Complementary Approaches (eBook) (National Center for Complementary and Integrative Health)
Stress Management: Massage (Mayo Foundation for Medical Education and Research)