Results 251 to 260 of about 465,142 (341)

Systematic review, meta-analysis, and meta-regression of the association of serial leukocyte counts in critically ill patients and mortality. [PDF]

Ann Intensive Care
Arulkumaran N, Dewar F, Ambler G, Arias Lopez MDP, Dos Santos C, De Waele JJ, Lipman J, Paiva JA, Timsit JF.   +8 more
europepmc   +1 more source

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

AGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das, Moustaq Karim Khan Rony, Shovit Dutta, MD. Sami Al Zubair Zujbe, Tapan Bhattacharjee, Niloy Debnath, Shabbir Abdullah Maruf, Chowdhury Galib Mortuza, Farhana Rahman, Akash Das   +9 more
wiley   +1 more source

Clinical Value the Neutrophil CD64 Index in Predicting the Severity of Hemorrhagic Fever With Renal Syndrome. [PDF]

Immun Inflamm Dis
Ye C, Zhang R, Wu S, Wei M, Cao J, Du X, Yang X, Fan C, Kang B, Zhang J, Wei X, Lian J.   +11 more
europepmc   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

Annals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana, Garren Montgomery, Miho Akabane, Matthew Hamilton, Navdeep Singh, Musab Alebrahim, Austin Schenk, Sylvester Black, Kenneth Washburn, Khalid Mumtaz   +9 more
wiley   +1 more source

Characteristics and outcomes of patients treated with tigecycline for MDR gram-negative infections: a retrospective cohort study. [PDF]

Front Cell Infect Microbiol
Alowais SA, Aldairem A, Bin Saleh K, Alsowaida YS, Alharbi MM, Wali HA, Almangour TA.   +6 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
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

Pathogen characteristics are key determinants of distinct host response phenotypes of sepsis. [PDF]

J Clin Invest
Chanderraj R, Bartek B, Stringer KA, Tiba MH, Sjoding MW, He Y, Nuppnau M, Bongers KS, Adame MD, Lou SS, Kerschberger VE, Churpek MM, Calfee CS, Tripathi S, Foster DM, Kellum JA, Dickson RP, Sinha P.   +17 more
europepmc   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Psychometric properties and factor structure of the short form of the cyberchondria severity scale (CSS-12) amongst Indian adults. [PDF]

Indian J Psychiatry
Dharshini R, Sharma MK, Anand N, Srivastava K.   +3 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source