Sociocrinology: Impact of Social Media on Endocrine Health – A Review
Indian Journal of Endocrinology and Metabolism, 2023 Social media (SM) refers to social networking sites (SNSs), which are defined as online services that enable individuals to build a public or semi-public profile and give them the opportunity to create a network of contacts and interact.
Jaideep Khare +2 more
doaj +1 more source
Inteligencia Artificial en Medicina y Salud: revisión y clasificación de las aplicaciones actuales y del futuro cercano y su impacto ético y social [PDF]
, 2020 This paper provides an overview of the current and near-future applications of Artificial Intelligence (AI) in Medicine and Health Care and presents a classification according to their ethical and societal aspects, potential benefits and pitfalls, and ...
Capitan-Morales, Luis-Cristobal +9 more
core
Conditional Generation Net for Medication Recommendation [PDF]
, 2022 Medication recommendation targets to provide a proper set of medicines according to patients' diagnoses, which is a critical task in clinics. Currently, the recommendation is manually conducted by doctors. However, for complicated cases, like patients with multiple diseases at the same time, it's difficult to propose a considerate recommendation even ...
arxiv +1 more source
Digitalization in Medicine: Are German Medical Students Well Prepared for the Future?
International Journal of Environmental Research and Public Health, 2022 The German healthcare system is facing a major transformation towards digitalized medicine. The aim was to find out the attitude and the degree of preparation of upcoming medical professionals for digital medicine.
H. Sorg, J. Ehlers, C. G. Sorg
semanticscholar +1 more source
Софія Парфанович – жінка-лікар, новаторка медичної просвіти в Україні: до актуальності питання [PDF]
, 2020 : The article analyzes the main milestones of the prominent Ukrainian doctor, public figure, writer of the early to mid-twentieth century Sofia Parfanovych.
Stytsiuk, Nataliya
core +2 more sources
Large Language Models in Sport Science & Medicine: Opportunities, Risks and Considerations [PDF]
arXiv, 2023 This paper explores the potential opportunities, risks, and challenges associated with the use of large language models (LLMs) in sports science and medicine. LLMs are large neural networks with transformer style architectures trained on vast amounts of textual data, and typically refined with human feedback.
arxiv
Herbal Medicine for Cardiovascular Diseases: Efficacy, Mechanisms, and Safety
Frontiers in Pharmacology, 2020 Cardiovascular diseases (CVDs) are a significant health burden with an ever-increasing prevalence. They remain the leading causes of morbidity and mortality worldwide.
Abdullah A. Shaito +9 more
semanticscholar +1 more source
Acta OncologicaBackground and purpose: MyHealth is a new follow-up program including individual nurse-led sessions based on Guided Self-Determination (GSD), which has been shown to improve health and psychological outcomes in patients after treatment for breast cancer.
Sigrid N. Biener +8 more
doaj +1 more source
Releasing Graph Neural Networks with Differential Privacy Guarantees [PDF]
Transactions on Machine Learning Research (TMLR), 2023, 2021 With the increasing popularity of graph neural networks (GNNs) in several sensitive applications like healthcare and medicine, concerns have been raised over the privacy aspects of trained GNNs. More notably, GNNs are vulnerable to privacy attacks, such as membership inference attacks, even if only black-box access to the trained model is granted.
arxiv
Fever and Antipyretic Supported by Traditional Chinese Medicine: A Multi-Pathway Regulation
Frontiers in Pharmacology, 2021 The coronavirus disease, 2019 (COVID-19), has spread rapidly around the world and become a major public health problem facing the world. Traditional Chinese medicine (TCM) has been fully committed to treat COVID-19 in China.
Le-le Ma +9 more
semanticscholar +1 more source