AI Medical Compendium

Predicting the Postoperative Recurrence Risk in Soft-Tissue Sarcomas of the Extremities and Trunk Using MRI-Based Nomogram.

Academic radiology Mar 12, 2026

RATIONALE AND OBJECTIVES: This study aims to develop a comprehensive nomogram for predicting the 3-year recurrence risk of patients with soft-tissue sarcoma (STS) undergoing surgical resection based on preoperative MRI images and clinical-radiologica... read more

Comment on "Machine learning-based prediction of CAC-defined cardiovascular risk using routine health examination data: a retrospective cross-sectional study in a Taiwanese population".

Journal of the Formosan Medical Association = Taiwan yi zhi Mar 12, 2026

Integrative transcriptomic and machine learning analysis identifies core immune genes and pathways driving graft-versus-host disease after allogeneic hematopoietic stem cell transplantation.

Leukemia research Mar 12, 2026

BACKGROUND: Graft-versus-host disease (GVHD), a major adverse event following allogeneic hematopoietic stem cell transplantation (allo-HSCT), commonly affects leukemia patients and is associated with reduced survival and impaired quality of life. Ear... read more

Robotic assessment of proprioception in individuals with patellar tendinopathy: A feasibility and pilot study.

Clinical biomechanics (Bristol, Avon) Mar 12, 2026

BACKGROUND: Individuals with patellar tendinopathy often exhibit impaired proprioception, which may contribute to symptom persistence and injury recurrence. A parallel robotic system based on a musculoskeletal knee model has shown valid and reliable ... read more

Hulled Rice or husk? Synchrotron radiation XRF and deep learning approach for the determination of the geographical origin of Chinese rice samples.

Food chemistry Mar 12, 2026

Accurate authentication of rice geographical origin is crucial for food safety and fraud prevention. Synchrotron radiation X-ray fluorescence (SR-XRF) spectroscopy was combined with deep learning to classify hulled rice (n = 903) and rice husks (n = ... read more

Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation.

Academic radiology Mar 12, 2026

PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in volume and intrinsic tissue characteristics in an obese patient population undergoing metabolic surgery. MATERIALS AND METHODS: Multiorgan segmentation... read more

The plastic stomatal development in grasses and its implications in crop improvement.

Journal of plant physiology Mar 12, 2026

Cereal crops, predominantly belonging to the grass family (Poaceae), are the cornerstone of global agriculture; thus, improving their environmental adaptability has emerged as a pivotal research focus. Stomata, which act as essential conduits mediati... read more

A comparative study of classical and neural network based optimal control in dengue transmission dynamics.

Computational biology and chemistry Mar 12, 2026

This study develops and analyses a mathematical model that represents dengue transmission between human and mosquito populations. The human population is divided into susceptible, infected, and recovered classes, while the mosquito population is divi... read more

Automated Flow and local LLM-Driven clinical Context Engineering: Precision colorectal cancer recurrence registry.

International journal of medical informatics Mar 12, 2026

OBJECTIVE: This study develops and validates a deployable, privacy-preserving automated tool to address the labor-intensive nature of colorectal cancer (CRC) recurrence registration. Our tool utilizes a reproducible, two-stage 'Clinical Context Engin... read more

MuTriM: A multiscale deep learning model integrating longitudinal radiomics and pathomic features for predicting recurrence and adjuvant radiation benefit in breast cancer.

European journal of cancer (Oxford, England : 1990) Mar 12, 2026

PURPOSE: We present MuTriM, a multimodal deep learning model integrating DCE-MRI and whole-slide pathology to predict survival and radiation benefit in breast cancer. PATIENTS AND METHODS: MuTriM employs an attention-based cross-modal and cross-tempo... read more

Artificial Intelligence Medical Compendium