AI Medical Compendium

Machine-Learning-Assisted Composition Design of High-Entropy CaBi4Ti4O15-Based Piezoceramics with Ultrahigh Piezoelectricity.

ACS applied materials & interfaces Jan 9, 2026

High-entropy strategy presents a promising approach for enhancing the piezoelectric properties of bismuth layer-structured ferroelectrics, yet the vast compositional space poses significant challenges for traditional trial-and-error methods. In this ... read more

Explainability-Based Optimized Deep Learning in Histopathological Diagnosis of Multiple Cancers and Development of Mobile Application.

Microscopy research and technique Jan 9, 2026

Histopathological image analysis is critical for cancer diagnosis, yet many existing models suffer from limited interpretability, high computational demands, and suboptimal classification accuracy. To overcome these limitations, we propose a novel mo... read more

Machine learning and causal inference applied to the gut metagenome-metabolome axis reveals a link between neonatal jaundice and autism spectrum disorder.

mSystems Jan 9, 2026

UNLABELLED: Neonatal jaundice (NJ) might increase the risk of autism spectrum disorder (ASD) in children. This study examined whether alterations in the gut microbiota could explain the link between NJ and ASD. We analyzed three cohorts: NJ cohort 1 ... read more

Hemispheric Network Dynamics During Auditory Language Comprehension and Its Clinical Implications Regarding Resting-State Functional Magnetic Resonance Imaging.

Journal of speech, language, and hearing research : JSLHR Jan 9, 2026

PURPOSE: With growing interest in modeling neurobehavior, there is increased interest in understanding patterns of functional connectivity (FC) during language processing. Previous research has suggested that static resting-state functional magnetic ... read more

Towards accurate occlusal plane positioning in panoramic radiographs: a deep learning-assisted study.

Oral radiology Jan 9, 2026

OBJECTIVE: To assess the effectiveness of deep learning architectures in automatically classifying head positioning errors on panoramic radiographs (PRs). METHODS: A total of 480 anonymized PR images were retrospectively collected and categorized by ... read more

Evaluation of the accuracy of detecting C-shaped canals in mandibular second molars identified by cone-beam computed tomography on panoramic radiographs using artificial intelligence algorithms developed with deep learning methods.

Oral radiology Jan 9, 2026

OBJECTIVE: The aim of this study is to detect the C-shaped canal formation in mandibular second molars on panoramic radiographs based on different Deep Convolutional Neural Networks (DCNNs) trained using panoramic radiographs. METHOD: This study incl... read more

Orthopaedic Research in Singapore: The Past, Present, and Future.

The Journal of bone and joint surgery. American volume Jan 9, 2026

Orthopaedic surgeons are the custodians of the musculoskeletal system in Singapore, with >350 orthopaedic surgeons looking after the whole continuum of musculoskeletal disease in a population of 6 million. Orthopaedic research in Singapore currently ... read more

pepADMET: A Novel Computational Platform For Systematic ADMET Evaluation of Peptides.

Journal of chemical information and modeling Jan 9, 2026

Peptide-based therapeutics are increasingly emerging as a promising alternative to small molecules and protein drugs. However, their clinical development still faces significant challenges, particularly in terms of efficacy and safety, which are larg... read more

FGA Serves as a Potential Diagnostic Marker and Therapeutic Target for Elderly Acute Kidney Injury.

Journal of proteome research Jan 9, 2026

To identify potential biomarkers and explore the underlying mechanisms of elderly acute kidney injury (e-AKI), we performed integrative plasma proteomics analysis on samples from 20 e-AKI patients and 20 age-matched non-AKI controls. Differential exp... read more

Markers predicting lymphoma development in Sjögren disease: current status and future perspectives.

Current opinion in immunology Jan 9, 2026

We aim to present recent advancements in predictive markers for lymphomagenesis in SjD, concisely organize existing knowledge, and identify corresponding unmet needs and future perspectives. First, we briefly describe the mechanisms of lymphomagenesi... read more

Artificial Intelligence Medical Compendium