Results 121 to 130 of about 2,745,727 (285)
New section: Memories and Retrospectives [PDF]
openaire +2 more sources
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao +15 more
wiley +1 more source
par Sarah Gensburger et Sandrine Lefranc, CNRS - ISP / Université Paris Ouest Lois « mémorielles », projets de musées − tels celui de la « Maison d’histoire de France » − et autres formes de représentation publique du passé n’ont pas cessé de susciter ...
Women Memory
core
Among 132 older adults, 13 had peripheral artery disease (PAD), identified using the ankle–brachial index. Over approximately 13 months, PAD was associated with increasing middle cerebral artery mean flow velocity, with a significant difference in left‐sided velocity change between groups.
SangMi Noh, Hae‐Eun Shin, YongSoo Shim
wiley +1 more source
This study investigated explicit knowledge of autobiographical memory functions using a newly developed questionnaire. European and Asian American adults (N = 57) and school-aged children (N = 68) indicated their agreement with 13 statements about why ...
Song, Qingfang +3 more
core +1 more source
ABSTRACT European agriculture is increasingly exposed to economic instability driven by extreme weather events, market volatility, and geopolitical tensions. To manage these growing risks, farmers are encouraged to adopt innovative risk management strategies such as the Income Stabilization Tool (IST), which offers protection against severe income ...
Alice Stiletto +5 more
wiley +1 more source
Cerebrospinal Fluid and MRI Biomarkers in Neurodegenerative Diseases: A Retrospective Memory Clinic-Based Study. [PDF]
Kaipainen A +9 more
europepmc +1 more source
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
This article investigates memory practices in connection with retrospective Facebook groups created for remembering specific aspects of the past. It focuses on how members of these groups experience and deal with how Facebook's interface and algorithms ...
Robin Ekelund
doaj +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

