Results 161 to 170 of about 166,379,765 (297)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Social Impact and Economic Burden of Uncoded Hyponatremia in Elderly - A Cost-of-Illness Study. [PDF]
Weinrebe W +6 more
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Kansas Congress on Mental Illness and Health Proceedings. [1963]
Sponsored by the Kansas Medical Society in cooperation with the Kansas Psychiatric Society, the Kansas Chapter, American Academy of General Practice, the Kansas Association for Mental Health, [and] the Division of Institutional Management of the ...
Kansas Congress on Mental Illness and Health (1st : 1963 : Topeka)
core
Editorial: Economic evaluation of mental health interventions
Huajie Jin +3 more
doaj +1 more source
Referral to an Apex Tertiary Center in Pediatric Epilepsy: A Prospective Cost-of-Illness Study. [PDF]
Patel M +8 more
europepmc +1 more source
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam +7 more
wiley +1 more source
Fever of unknown origin: cost of illness study. [PDF]
Lesnjak I +14 more
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Estimating the direct healthcare costs of oral diseases in the United Kingdom: a cost-of-illness projection to 2050. [PDF]
Coote E, Patel N, Vijayanarayanan R.
europepmc +1 more source

