AI Medical Compendium

Assessing greenspace and cardiovascular disease risk through deep learning analysis of street-view imagery in the US-based nationwide Nurses' Health Study.

Environmental epidemiology (Philadelphia, Pa.) Jan 20, 2026

BACKGROUND: Living near greenspace is associated with decreased cardiovascular disease (CVD). Greenspace estimates, however, typically represent all types of vegetation using top-down satellite images, which incorporate exposure misclassification and... read more

Exploring the structural basis of organic compounds by predicting experimental IR peaks: a machine learning analysis.

Journal of molecular graphics & modelling Jan 20, 2026

To understand the structural foundation of organic compounds is crucial in fields like chemistry and materials science. This study is a machine learning quest for predicting the experimental carbonyl peaks in the infrared (IR) spectrum of organic com... read more

Assessing the performance of physics-informed neural networks for tumor growth prediction under noisy and sparse data conditions.

Computational biology and chemistry Jan 20, 2026

Cancer presents multiple challenges for its study, which is why mathematical models have become essential tools to understand its dynamics and reduce reliance on costly biological experiments. This investigation explores the use of Physics-Informed N... read more

UNISELF: A unified network with instance normalization and self-ensembled lesion fusion for multiple sclerosis lesion segmentation.

Medical image analysis Jan 20, 2026

Automated segmentation of multiple sclerosis (MS) lesions using multicontrast magnetic resonance (MR) images improves efficiency and reproducibility compared to manual delineation, with deep learning (DL) methods achieving state-of-the-art performanc... read more

Energy-driven innovations in computational de novo protein engineering.

Progress in biophysics and molecular biology Jan 20, 2026

Energy models play a crucial role in the advancement of computational de novo protein engineering, enabling the design of novel proteins with tailored functionalities. Proteins serve as the foundation of biochemical processes, making their precise en... read more

Neural-linguistic analysis for Alzheimer's detection: A deep learning approach informed by cognitive neuroscience.

NeuroImage Jan 20, 2026

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that disrupts cognitive function across multiple domains, particularly affecting language networks and speech production pathways in the brain. Patients demonstrate symptoms includi... read more

Double exponential neuron evolution versus merely exponential Artificial Intelligence (AI): Reconsideration of Kurzweil's Singularity.

Bio Systems Jan 20, 2026

Reanalysis of recent data has led to two unexpected conclusions. 1) Animals with regulating embryos show exponential growth in the number of cell types (NCT) over geological time, while animals with mosaic embryos remain merely flat or linear on aver... read more

Atypical Histology in Pulmonary Biopsies Obtained Using Robotic-Assisted Bronchoscopy: Natural History and Clinical Practice.

The Annals of thoracic surgery Jan 20, 2026

BACKGROUND: A recent consensus statement recommends that atypical cells are considered nondiagnostic specimens in the calculation of diagnostic yield. This study investigated the natural history and malignancy rate of atypical cells and practice patt... read more

Identification of sensorineural hearing loss subtypes using unsupervised machine learning and assessment of their replicability.

Scientific reports Jan 20, 2026

Validation of histopathology-based deep learning algorithms for detection of actionable non-small cell lung cancer biomarkers.

NPJ precision oncology Jan 20, 2026

Non-small cell lung cancer (NSCLC) patient management relies on molecular analysis to determine eligibility for targeted therapy. Furthermore, neoadjuvant immunotherapy is primarily suitable in the absence of specific genomic alterations. However, si... read more

Artificial Intelligence Medical Compendium