AI Medical Compendium

Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics.

Nature communications Aug 4, 2025

Long-term and high-spatiotemporal-resolution 3D imaging of living cells remains an unmet challenge for super-resolution microscopy, owing to the noticeable phototoxicity and limited scanning speed. While emerging light-field microscopy can mitigate t... read more

Humans Deep Learning Imaging, Three-Dimensional Lysosomes Mitochondria Microscopy HeLa Cells Endoplasmic Reticulum Mitochondrial Dynamics

Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives.

Military Medical Research Aug 4, 2025

Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and associated with elevated rates of diagnostic error, underscoring the urgent need for more efficient tools to improve the current situation. Recently, ... read more

Humans Artificial Intelligence Machine Learning Deep Learning Orthopedics

Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines.

Nature methods Aug 4, 2025

Recent research in deep-learning-based foundation models promises to learn representations of single-cell data that enable prediction of the effects of genetic perturbations. Here we compared five foundation models and two other deep learning models ... read more

Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions.

IEEE transactions on medical imaging Aug 4, 2025

Reconstructing brain sources is a fundamental challenge in neuroscience, crucial for understanding brain function and dysfunction. Electroencephalography (EEG) signals have a high temporal resolution. However, identifying the correct spatial location... read more

Frequent longitudinal blood microsampling and proteome monitoring identify disease markers and enable timely intervention in a mouse model of type 1 diabetes.

Diabetologia Aug 4, 2025

AIMS/HYPOTHESIS: Type 1 diabetes manifests after irreversible beta cell damage, highlighting the crucial need for markers of the presymptomatic phase to enable early and effective interventions. Current efforts to identify molecular markers of diseas... read more

Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation.

BMC pharmacology & toxicology Aug 4, 2025

BACKGROUND: Nonspecific orbital inflammation (NSOI), also known as idiopathic orbital inflammation, comprises a heterogeneous group of immune-mediated disorders affecting orbital tissues, unified by the absence of a defined etiology. Lactotransferrin... read more

Humans Machine Learning Biomarkers Prognosis Inflammation Databases, Genetic Mendelian Randomization Analysis Lactoferrin Orbital Pseudotumor

Letter to the editor regarding artificial intelligence in perioperative medicine education: A feasibility test of case-based learning.

Journal of perioperative practice Aug 4, 2025

Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study.

NPJ digital medicine Aug 4, 2025

For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival... read more

ScrewSplat: An End-to-End Method for Articulated Object Recognition

arXiv Aug 4, 2025

Articulated object recognition -- the task of identifying both the geometry and kinematic joints of objects with movable parts -- is essential for enabling robots to interact with everyday objects such as doors and laptops. However, existing approa... read more

Robotics Computer Vision and Pattern Recognition

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

The Analyst Aug 4, 2025

RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of their safety, efficacy, and shortened time from disease discovery to therapy development. Microfluidic electrophoresis provides a great analytical plat... read more

Humans Neural Networks, Computer RNA Electrophoresis Microfluidic Analytical Techniques RNA, Double-Stranded

Artificial Intelligence Medical Compendium