Results 191 to 200 of about 169,017 (241)
Dynamic LoRA Fine-Tuning of DINOv3 for Multi-Component Pasture Biomass Estimation. [PDF]
Sen S, Dhankhar N, Bayat A.
europepmc +1 more source
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Region-aware bridge modeling enables interpretable mesoscale representation of spatial transcriptomic tissue sections. [PDF]
Kim SH.
europepmc +1 more source
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Privacy-preserving adaptive arrhythmia monitoring with wearable ECG, smartphone PPG, and federated on-device learning. [PDF]
Kartali A +4 more
europepmc +1 more source
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
Geometric and quantum kernel methods for predicting skeletal muscle outcomes in experimental chronic obstructive pulmonary disease. [PDF]
Alavi A +5 more
europepmc +1 more source
ScQCenrich enables multi-metric quality control for single-cell RNA sequencing. [PDF]
Liu Y +6 more
europepmc +1 more source
Application of deep learning models integrating attention mechanisms in operating room nursing quality and postoperative risk assessment for tumors. [PDF]
Liu Z, Sun M, Xu Z.
europepmc +1 more source

