AI Medical Compendium

Identifying Temporal Drivers for Microbial Community Assembly in Wastewater Treatment by Stochastic Physics-Informed Deep Learning Based on Limited-View and Sparsely Sampled Data.

Environmental science & technology Mar 12, 2026

Microbial community assembly (MCA) is the key to biological wastewater treatment by dynamically shaping the functional populations responsible for pollutant removal through deterministic selection and stochastic ecological processes, but identifying ... read more

Unveiling m7G modification patterns and causal drivers governing intracranial aneurysm rupture risk through multi-omics validation and m7G-MeRIP-seq profiling.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Mar 12, 2026

Intracranial aneurysm (IA) rupture causes severe brain hemorrhage with high mortality, yet its molecular drivers remain unclear and better risk prediction is urgently needed. Using transcriptomics, single-cell analysis, and genetic data, we investiga... read more

Glucose Predictions Improve Glycemic Control: A Digital Twin Evaluation.

Diabetes technology & therapeutics Mar 12, 2026

BACKGROUND: Glucose predictions aim to empower continuous glucose monitoring (CGM) users by enabling preventive actions to reduce adverse glycemic events. The Accu-Chek® SmartGuide Predict app offers several AI-enabled predictive features, driven by ... read more

Estimating the Individualized Effect of Tooth Extraction before Radiotherapy on Osteoradionecrosis Using Causal Machine Learning.

Journal of dental research Mar 12, 2026

The purpose of this study was to determine the average treatment effect (ATE) of tooth extraction before radiotherapy on the risk of osteoradionecrosis (ORN) in patients with head and neck cancer (HNC) and to estimate the conditional average treatmen... read more

Rapid Proteome-Wide Discovery of Protein-Protein Interactions With ppIRIS.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 12, 2026

Protein-protein interactions (PPIs) are central to cellular processes and host-pathogen dynamics across all domains of life, yet comprehensive interactome mapping remains challenging at the proteome scale. Experimental approaches provide only partial... read more

From Multimodal Data to Clinical Insight: An Explainable Model for Preoperative Salivary Gland Lesion Diagnosis.

Oral diseases Mar 12, 2026

OBJECTIVE: To develop and validate a multimodal dual-step support vector machine model (SVM-DualNet) for the preoperative three-class classification of salivary gland lesions (SGLs) to support clinical decision-making. METHODS: We retrospectively col... read more

IoT-based Stomach abnormality detection via hybrid MDCNN-Bi-LSTM architecture with statistical and texture features.

Informatics for health & social care Mar 12, 2026

Stomach abnormalities pose significant health concerns, ranging from minor digestive issues to severe conditions. The emergence of deep learning methods offers a promising solution to this problem. However, due to the risk of non-optimal hyperparamet... read more

Evaluation of a Facial Dysmorphology Analysis Algorithm (Face2Gene) in Identifying Treacher Collins Syndrome Amongst Diverse Population.

Orthodontics & craniofacial research Mar 12, 2026

BACKGROUND: Treacher Collins Syndrome (TCS) is an uncommon congenital disease of the craniofacial complex. While there are 'classic' facial manifestations of TCS, they present with a wide range of variability. Face2Gene (F2G) is a deep-learning algor... read more

Building a Foundation SERS Model for Lipids through Fatty Acid Pretraining for Annotation across Chemical Spaces.

ACS applied materials & interfaces Mar 12, 2026

Machine learning analysis of vibrational spectra is often closed-set, performing well for known molecular classes but degrading sharply when test molecules fall outside the training library. Herein, we introduce a SERS-based domain-informed foundatio... read more

Enhanced CO2 Electroreduction to Ethylene and Acetamide: Modulating the Microenvironment of CuAg by Imidazolium Salts via Modeling and Machine Learning.

ACS nano Mar 12, 2026

Electrocatalytic CO2 reduction (eCO2R) to high-value multicarbon (C2+) hydrocarbons such as ethylene and acetamide via C-C/N coupling is an attractive and effective technique for achieving zero carbon emissions and advancing renewable energy. Recent ... read more

Artificial Intelligence Medical Compendium