Results 131 to 140 of about 120,079,059 (280)
Embodying illness and managing the uncertainty
Entering a career of a person having a chronic illness implies the management of several situations of uncertainty. Through two pilot ethnographic researches carried on in Northern Italy and France among children affected by a type 1 diabetes, we have analysed how somatic instability due to the children’s growing up is intertwined with the instability ...
Donatella Cozzi, Nicoletta Diasio
openaire +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
ObjectiveTo investigate the influencing factors on the quality of life of patients with pulmonary tuberculosis under initial treatment.MethodsUsing convenience sampling,a total of 288 initial treatment pulmonary tuberculosis patients admitted to a ...
SONG Hangru +3 more
doaj
Background Women with vulvar neoplasia continue to experience uncertainty up to six months post-surgery. Uncertainty in illness is considered a significant psychosocial stressor, that negatively influences symptom distress, self-management strategies and
Jasmin Eppel-Meichlinger +3 more
doaj +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Current Standards of Monitoring Models in Healthcare Settings
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay +5 more
wiley +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
Predicting illness anxiety symptoms based on worry, alexithymia, intolerance of uncertainty and cognitive emotion regulation strategies [PDF]
Background: Illness Anxiety Disorder (IAD), is a type of worry about the existence or occurrence of serious medical diseases. worry, alexithymia, intolerance of uncertainty and cognitive emotion regulation strategies can be effective factors in the ...
Vida Oshrieh +2 more
doaj
Background Parental illness uncertainty significantly impacts the quality of life of caregivers of ill children, particularly for those whose children require mechanical ventilation due to severe pneumonia—a population facing unique clinical and ...
Ming Wang, Renjun Chen, Chengcheng Li
doaj +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source

