AI Medical Compendium

Prenatal behavioral contagion through maternal yawning and fetal resonance.

Current biology : CB May 5, 2026

Yawning is a phylogenetically preserved and highly stereotyped behavior observed across vertebrates.1 In humans, it emerges early in development, as it is already present prenatally.2,3 Qualitative studies show that fetal yawns display a structured m... read more

Artificial intelligence applications in OCT and OCTA for diabetic retinopathy: A systematic review.

Experimental eye research May 5, 2026

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide. Optical coherence tomography (OCT) and OCT angiography (OCTA) provide detailed retinal imaging, enabling early detection of microvascular changes. This study aims t... read more

Machine learning framework for irrigation water quality assessment in Kerala Rivers, India.

Journal of contaminant hydrology May 5, 2026

Accurate assessment of irrigation water quality is essential for sustainable agricultural management, particularly in regions facing increasing pressure on freshwater resources. Conventional water quality indices often require extensive parameters an... read more

Degradable and non-degradable microplastics regulate soil greenhouse gas emissions: Multi-factor insights and key monitoring factors from a Kolmogorov-Arnold Network ensemble model.

Journal of hazardous materials May 5, 2026

Microplastics (MPs) are increasingly recognized as a potential factor influencing soil greenhouse gases (GHGs) emissions, yet their effects remain inconsistent due to complex interactions among soil properties, microbial communities, and MP character... read more

Enhancing nutritional yeast-derived meaty flavours with multi-task Bayesian optimisation.

Food chemistry May 5, 2026

This study applied data-driven machine learning to optimise the generation of meaty flavour from Maillard-reaction-derived nutritional yeast hydrolysates. Conventional flavour development relies heavily on empirical expertise, limiting efficiency and... read more

Use of Machine-Learning Models to Identify Clinical Features Associated With A Future Clinical Worsening Event in Patients With Pulmonary Arterial Hypertension.

Pulmonary circulation May 5, 2026

Clinical worsening events are increasingly recognized as a meaningful outcome in pulmonary arterial hypertension (PAH). We applied machine-learning models to real-world data to identify clinical features that may predict clinical worsening events in ... read more

Establishing a competence model in discriminating Mycobacterium species and Mycobacterium abscessus subspecies by using surface-enhanced Raman spectroscopy.

Biomedical reports May 5, 2026

Surface-enhanced Raman spectroscopy (SERS) is a powerful laser-based technique with high sensitivity and rapid detection. The present study aimed to establish a model for distinguishing Mycobacterium abscessus (nontuberculous mycobacteria; NTM) from ... read more

Synthesis and machine learning techniques to enable data-driven investigation of supramolecular host-guest interactions.

Chemical science May 5, 2026

The availability of large datasets such as the Protein DataBank and ChEMBL have allowed for rapid progress in developing machine learning tools for predicting the biological activity of organic small molecules. The binding between supramolecular host... read more

Artificial intelligence in general surgery: A national survey on knowledge, utilization, and future expectations.

Surgery May 5, 2026

Artificial intelligence is rapidly expanding across medical fields, yet its integration into surgical practice remains limited. Understanding surgeons' perspectives on artificial intelligence is essential for guiding responsible implementation. This ... read more

Machine learning for the prediction of three-year survival in locally advanced breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound imaging.

Scientific reports May 5, 2026

Locally Advanced Breast Cancer (LABC) is a serious type of cancer with a poor prognosis despite advances in cancer treatment. As the disease is often inoperable, current guidelines recommend upfront aggressive neoadjuvant chemotherapy (NAC). While co... read more

Artificial Intelligence Medical Compendium