AI Medical Compendium

PRUNE: A patching based repair framework for certifiable and privacy-robust unlearning of neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2026

Machine unlearning has emerged as a key mechanism for enabling the "right to be forgotten" in neural network models, allowing the selective removal of specific training data upon request. Existing approaches typically rely on retraining models with t... read more

Baseline symptom severity and response to multisession cathodal transcranial direct current stimulation in adolescents and young adults with autism: an exploratory analysis.

Journal of psychiatric research Mar 26, 2026

BACKGROUND: Identifying baseline clinical characteristics associated with treatment response is crucial for optimising intervention strategies in people with autism spectrum disorder (ASD). This study aimed to distinguish responders from non-responde... read more

Deciphering pharmaceutical resistance in sulfur-driven autotrophic denitrification: an integrated multi-omics artificial intelligence-driven structural biology approach.

Water research Mar 26, 2026

Sulfur-driven autotrophic denitrification (SdAD) is a promising low-carbon technology for nitrogen removal; however, its stability and adaptive mechanisms under pharmaceutical stress remain poorly understood. In this study, ibuprofen (IBU) was used a... read more

ADMETPred: a high-throughput ADMET prediction platform integrating multi-model algorithms and interpretable substructure identification.

Science China. Life sciences Mar 26, 2026

The prediction of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties plays a critical role in early-stage drug discovery. While artificial intelligence (AI) has demonstrated transformative potential in revolutionizing th... read more

An ultrasensitive electrochemical immunosensor for SLC2A3 detection enables prognostic prediction in acute ischemic stroke.

Analytica chimica acta Mar 26, 2026

Acute ischemic stroke (AIS) presents significant challenges in biomarker discovery and detection. This study addresses these hurdles through an integrated strategy encompassing multi-omics screening, experimental validation, machine learning-based pr... read more

Enhancing drug synergy in malignant diseases with deep architecture optimization algorithms.

Computer methods in biomechanics and biomedical engineering Mar 26, 2026

Malignant diseases remain one of the leading causes of death globally. Drug synergy has emerged as an effective approach for treating malignancy, offering improved therapeutic outcomes. Although techniques like clinical trials and high-throughput dru... read more

Artificial intelligence and hearing health: a global evidence review of biases and equity implications for Africa.

Global health action Mar 26, 2026

Artificial intelligence (AI) is increasingly integrated into audiology and hearing health, yet evidence from across the health sciences shows that AI systems routinely embed structural biases that can exacerbate inequities, particularly for African a... read more

Artificial Intelligence and Nasal Cytology: Toward a Comprehensive Cytological Endotyping of Rhinitis.

International forum of allergy & rhinology Mar 26, 2026

Smart Learning: Artificial Intelligence in Kidney Disease Education.

Clinical journal of the American Society of Nephrology : CJASN Mar 26, 2026

Development and validation of a highly accurate multigene gene expression biomarker to predict chemotherapy response in primary triple-negative breast cancer.

Breast cancer research and treatment Mar 26, 2026

PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking estrogen and progesterone receptors and HER2 amplification. Representing 10-15% of breast cancer cases, TNBC disproportionately affects Black and pre-menopausal women and ... read more

Artificial Intelligence Medical Compendium