AI Medical Compendium

Rational engineering of allosteric protein switches by in silico prediction of domain insertion sites.

Nature methods Aug 4, 2025

Domain insertion engineering is a powerful approach to juxtapose otherwise separate biological functions, resulting in proteins with new-to-nature activities. A prominent example are switchable protein variants, created by receptor domain insertion i... read more

Microfluidics for geosciences: metrological developments and future challenges.

Lab on a chip Aug 4, 2025

This review addresses the main metrological developments over the past decade for microfluidics applied to geosciences. Microfluidic experiments for geosciences seek to decipher the complex interplay between coupled, multiphase, and reactive processe... read more

The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods.

BMC infectious diseases Aug 4, 2025

BACKGROUND: Acute cholangitis (AC) presents with significant clinical heterogeneity, and existing severity classifications have limited prognostic value in critically ill patients. Subtypes of AC in critically ill patients have not been investigated. read more

Humans Prognosis Retrospective Studies Critical Illness Intensive Care Units Female Aged Male Middle Aged Unsupervised Machine Learning Acute Disease Cholangitis

varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction.

Genome medicine Aug 4, 2025

BACKGROUND: Machine learning and artificial intelligence are increasingly being applied to identify phenotypically causal genetic variation. These data-driven methods require comprehensive training sets to deliver reliable results. However, large unb... read more

Humans Machine Learning Software Genome-Wide Association Study Genomics Computational Biology Databases, Genetic Genetic Variation Genome, Human

Determinants of depressive symptoms in multinational middle-aged and older adults.

NPJ digital medicine Aug 4, 2025

This study harnesses machine learning to dissect the complex socioeconomic determinants of depression risk among older adults across five international cohorts (HRS, ELSA, SHARE, CHARLS, MHAS). Evaluating six predictive algorithms, XGBoost demonstrat... read more

Machine learning for predicting crohn's disease from routine blood tests years before diagnosis: results from the epi-IIRN cohort.

Journal of Crohn's & colitis Aug 4, 2025

OBJECTIVES: In this nationwide study, we used the epi-Israeli Inflammatory Bowel Disease (IBD) Research Nucleus (IIRN) validated cohort to explore the utility of routine blood tests as markers predicting IBD occurrence years before diagnosis. read more

Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment.

Nature reviews. Clinical oncology Aug 4, 2025

Cancer of unknown primary (CUP) is a metastatic malignancy for which a primary site of origin cannot be identified despite a thorough and standardized diagnostic work-up, and accounts for 1-3% of all malignancies. An unfavourable subgroup of CUP has ... read more

Evaluating acute image ordering for real-world patient cases via language model alignment with radiological guidelines.

Communications medicine Aug 4, 2025

BACKGROUND: Diagnostic imaging studies are increasingly important in the management of acutely presenting patients. However, ordering appropriate imaging studies in the emergency department is a challenging task with a high degree of variability amon... read more

Impact of artificial intelligence assistance on bone scintigraphy diagnosis.

Physical and engineering sciences in medicine Aug 4, 2025

Bone scintigraphy is an important tool for detecting bone lesions. This study aimed to improve and evaluate the performance of our previously-developed deep learning-based model called MaligNet in helping nuclear medicine (NM) physicians interpret bo... read more

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.

BMC psychiatry Aug 4, 2025

BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional statistical approac... read more

Humans Machine Learning Algorithms Mental Disorders Biomarkers Female Adult Male Bipolar Disorder Schizophrenia Datasets as Topic Niacin Flushing

Artificial Intelligence Medical Compendium