A multicenter study shows that one artificial intelligence framework can extract several clinically relevant signals from routine renal tumor histology: tissue composition, tumor subtype, nuclear grade, and survival…

Clinical improvement after ablative neurosurgery for treatment-resistant depression was associated with more efficient decision-making and more normative reward processing. Psychomotor slowing, however, persisted even among surgically treated patients.

In a cross-linguistic benchmark of speech in psychosis, simple measures such as word count and sentence length generally performed as well as—or better than—51 more sophisticated NLP metrics.…

Severe atopic dermatitis carries a distinct serum-proteomic signature dominated by epithelial proteins and Th2/Th22-associated signals. A nine-protein panel separated prespecified severe from mild disease with a cross-validated AUC…

An adaptive electronic-skin platform combined four physiological signals with spectral representation learning to classify controlled activities with 94.7% test accuracy and assess fatigue with approximately 90.2% reported performance.…

A preoperative resting ECG—whether assessed conventionally or by a deep-learning model—provided little clinically useful improvement in predicting cardiovascular events after major noncardiac surgery. NT-proBNP and high-sensitivity troponin T…

A semantically enhanced pathology AI consistently identified stage II colorectal cancers associated with higher five-year relapse risk across three held-out cohorts. Its predictions also added prognostic information within…

A six-sensor array combining structurally defined DNA-wrapped carbon nanotubes with machine learning generated serum fingerprints that distinguished three cancers and detected early-stage lung cancer with high accuracy. Requiring…

A logistic regression model combining structural MRI, amyloid-PET Centiloid values, and demographic data classified clinically relevant tau positivity in external amyloid-positive cohorts with an AUC of 0.92. The…

Psychiatric symptoms in Parkinson’s disease were associated with distinct oscillatory patterns in the subthalamic nucleus (STN), each embedded in a different spatial and structural-connectivity context. The findings suggest…