Results 121 to 130 of about 4,646,407 (331)

Steroid Receptor Coactivator‐1 Drives Tumor‐Associated Macrophage Reprogramming by Mediating MMP12 Transcription in Pancreatic Cancer Perineural Invasion

open access: yesAdvanced Science, EarlyView.
Steroid receptor coactivator‐1 (SRC‐1) reprograms tumor‐associated macrophages (TAMs) via signal transducer and activator of transcription 1(STAT1)‐mediated matrix metallopeptidase 12 (MMP12) transcription to drive perineural invasion (PNI) in pancreatic cancer.
Ke Cheng   +9 more
wiley   +1 more source

Human iPSC‐Derived Mononuclear Phagocytes Improve Cognition and Neural Health across Multiple Mouse Models of Aging and Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
Short‐term intravenous treatments with iPSC‐derived mononuclear phagocytes (iMPs) improve cognitive decline and neural health in two mouse models of aging and in the 5xFAD mouse model of Alzheimer's disease. iMPs reduce levels of serum amyloid proteins that increase in aging and improve the health of hippocampal microglia and mossy cells.
V. Alexandra Moser   +11 more
wiley   +1 more source

STRATEGY FOR TEACHING MEDICAL INFORMATICS IN RUSSIAN UNIVERSITIES

open access: yesВысшее образование в России, 2016
The article emphasizes the importance of coordination of informatics and medical informatics teaching between Universities in conditions of advancing informatization of healthcare and fast IT development.
Tatyana V. Zarubina   +2 more
doaj  

A Comparative Study of the Clinical Informatics Fellowship Curriculum in Selected Universities of the World

open access: yesمجله انفورماتیک سلامت و زیست پزشکی, 2020
Introduction: The American Medical Association has introduced the newest medical subspecialty field known as "Clinical Informatics" since 2011. In order to present similar courses in Iran, it is necessary to design and evaluate a training program.
Roghayeh Ershad Sarabi   +5 more
doaj  

IUPUI Center for Health Geographics [PDF]

open access: yes, 2010
poster abstractThe IUPUI Center for Health Geographics develops and supports research innovation through integration of geographic information science, medical informatics, community informatics, and public health. Our areas of research emphasis include
Bodenhamer, David J.   +2 more
core  

CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics

open access: yesAdvanced Science, EarlyView.
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young   +4 more
wiley   +1 more source

A review of medical education and medical informatics

open access: yesAcademic Medicine, 1989
Physicians have considerable difficulty collecting and interpreting information from patients, dealing with the uncertainties associated with diagnosing and treating their patients, communicating precisely with one another, keeping up to date, and applying recommended procedures when indicated.
Nancy C. Ryan   +4 more
openaire   +4 more sources

Igfbp2 Downregulation in PVT‐CeA Glutamatergic Circuits Drives Neonatal Anesthesia‐Induced Fear Memory Deficits

open access: yesAdvanced Science, EarlyView.
Repeated neonatal sevoflurane exposure impairs adolescent fear memory through Igfbp2 downregulation in paraventricular thalamus‐central amygdala glutamatergic projections. Restoring Igfbp2 or activating this circuit rescues memory deficits, neuronal excitability, and spine density, identifying a precise molecular target for preventing anesthesia ...
Weiming Zhao   +16 more
wiley   +1 more source

Human Brain Cell‐Type‐Specific Aging Clocks Based on Single‐Nuclei Transcriptomics

open access: yesAdvanced Science, EarlyView.
Muralidharan and colleagues develop cell‐type‐specific transcriptomic aging clocks using single‐nucleus RNA sequencing of human post mortem prefrontal cortex samples. These clocks accurately predict age and identify distinct aging trajectories in specific brain cell types.
Chandramouli Muralidharan   +12 more
wiley   +1 more source

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