AI Medical Compendium

Applications and Challenges of Artificial Intelligence and Big Data in Drug Regulation.

Therapeutic innovation & regulatory science Mar 5, 2026

Artificial intelligence (AI) and big data are increasingly applied in drug regulation and have demonstrated significant potential worldwide. The U.S. Food and Drug Administration (FDA) has developed a relatively comprehensive approach through strateg... read more

Integrated WTe2@SnO2 Heterojunction Sensors and Deep Learning Architecture for Intelligent Multi-Gas Detection under Environmental Variations.

Analytical chemistry Mar 5, 2026

Multigas detection in varying environmental conditions remains a critical challenge for conventional sensors, requiring innovative integration of advanced materials and intelligent algorithms. An integrated sensor-algorithm platform synergistically c... read more

Identifying Shared Diagnostic Genes and Underlying Mechanisms Between Skin Exposure to Air Pollution and Skin Barrier Damage: A Bioinformatics Approach.

Environmental toxicology Mar 5, 2026

Air pollution poses a significant threat to skin health, contributing to inflammation, aging, and disruption of the epidermal barrier. This study aims to identify genes associated with skin exposure to air pollution and skin barrier damage, and to di... read more

A Dual-Model Machine Learning Framework for Interpretable Design and Ensemble Prediction of C-Amidated Antimicrobial Peptides.

ACS applied materials & interfaces Mar 5, 2026

Antimicrobial peptides (AMPs) offer promising alternatives to conventional antibiotics, yet most predictive models fail to account for chemical modifications that influence real-world efficacy. Among these, C-terminal amidation is a widely adopted an... read more

Machine learning model integrating oral microbiota and clinical features for predicting osteoporosis and bone loss in high-altitude populations.

BMC microbiology Mar 5, 2026

Development and validation of a deep learning radiomics model based on ultrasound and clinical features to predict prognosis in elderly patients with advanced pancreatic cancer after HIFU therapy.

BMC gastroenterology Mar 5, 2026

Identification and validation of an ultrasound-based interpretable machine learning model for the preoperative evaluation of microvascular invasion in patients with hepatocellular carcinoma.

BMC cancer Mar 5, 2026

Novel biomarker-based prediction model for coronary artery lesions in Kawasaki disease.

BMC pediatrics Mar 5, 2026

Symptom clustering of old adult dysphagic patient phenotypes by unsupervised machine learning using multidimensional characteristics: a cross-sectional study.

BMC geriatrics Mar 5, 2026

Development and validation of an interpretable multi-task prediction model based on heart rate variability for discriminating depression, anxiety and psychiatric comorbidities: a machine learning-driven retrospective study.

BMC psychiatry Mar 5, 2026

Artificial Intelligence Medical Compendium

Applications and Challenges of Artificial Intelligence and Big Data in Drug Regulation.

Integrated WTe2@SnO2 Heterojunction Sensors and Deep Learning Architecture for Intelligent Multi-Gas Detection under Environmental Variations.

Identifying Shared Diagnostic Genes and Underlying Mechanisms Between Skin Exposure to Air Pollution and Skin Barrier Damage: A Bioinformatics Approach.

A Dual-Model Machine Learning Framework for Interpretable Design and Ensemble Prediction of C-Amidated Antimicrobial Peptides.

Machine learning model integrating oral microbiota and clinical features for predicting osteoporosis and bone loss in high-altitude populations.

Development and validation of a deep learning radiomics model based on ultrasound and clinical features to predict prognosis in elderly patients with advanced pancreatic cancer after HIFU therapy.

Identification and validation of an ultrasound-based interpretable machine learning model for the preoperative evaluation of microvascular invasion in patients with hepatocellular carcinoma.

Novel biomarker-based prediction model for coronary artery lesions in Kawasaki disease.

Symptom clustering of old adult dysphagic patient phenotypes by unsupervised machine learning using multidimensional characteristics: a cross-sectional study.

Development and validation of an interpretable multi-task prediction model based on heart rate variability for discriminating depression, anxiety and psychiatric comorbidities: a machine learning-driven retrospective study.

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