AI Medical Compendium

Evaluating forecasting models for health service demand during the COVID-19 pandemic.

Scientific reports Aug 20, 2025

We combine daily internet search data and monthly information on medical expenditures for anti-depressants to test two distinct hypotheses in eight Australian states, covering the period from 2020 to 2022. First, whether using daily search data can h... read more

Humans Machine Learning Pandemics COVID-19 Forecasting SARS-CoV-2 Australia Health Services Needs and Demand

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer's disease.

Alzheimer's research & therapy Aug 20, 2025

BACKGROUND AND OBJECTIVES: Early and cost-effective identification of amyloid positivity is crucial for Alzheimer's disease (AD) diagnosis. While amyloid PET is the gold standard, plasma biomarkers such as phosphorylated tau 217 (pTau217) provide a p... read more

Humans Machine Learning Biomarkers Female Aged Aged, 80 and over Male Middle Aged Amyloid beta-Peptides Peptide Fragments Glial Fibrillary Acidic Protein Alzheimer Disease Positron-Emission Tomography Cost-Benefit Analysis Neurofilament Proteins tau Proteins

A simple guide to the use of Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics.

BioData mining Aug 20, 2025

In an age when machine learning and artificial intelligence are broadly employed, traditional statistics can still provide insightful information and results quickly and at a low computational cost. Statistics, in fact, offers many useful tools to re... read more

Propagation-adaptive 4K computer-generated holography using physics-constrained spatial and Fourier neural operator.

Nature communications Aug 20, 2025

Computer-generated holography (CGH) offers a promising method to create true-to-life reconstructions of objects. While recent advances in deep learning-based CGH algorithms have significantly improved the tradeoff between algorithm runtime and image ... read more

Exploration of biomarkers for predicting the prognosis of patients with diffuse large B-cell lymphoma by machine-learning analysis.

BMC immunology Aug 20, 2025

[Minimally invasive liver surgery: current trends and future perspectives].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025

In recent years, the continuous optimization of minimally invasive surgical instruments and equipment for liver procedures, coupled with advancements in surgeons' technical expertise and theoretical frameworks, has propelled the personalized and prec... read more

[Digital and intelligent medicine empowering precision abdominal surgery:today and the future].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025

The complex anatomical structure of abdominal organs demands high precision in surgical procedures, which also increases postoperative complication risks. Advancements in digital medicine have created new opportunities for precision surgery. This art... read more

Visual language transformer framework for multimodal dance performance evaluation and progression monitoring.

Scientific reports Aug 20, 2025

Dance is often perceived as complex due to the need for coordinating multiple body movements and precisely aligning them with musical rhythm and content. Research in automatic dance performance assessment has the potential to enhance individuals' sen... read more

Humans Neural Networks, Computer Language Psychomotor Performance Music Dancing

Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis.

Arthritis research & therapy Aug 20, 2025

BACKGROUND: Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is an autoimmune disorder characterized by multi-organ involvement. Early identification and accurate diagnosis of AAV is crucial for improving prognosis. However, res... read more

Humans Biomarkers Gene Expression Profiling Transcriptome Gene Regulatory Networks Mendelian Randomization Analysis Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis

Network synchrony creates neural filters promoting quiescence in Drosophila.

Nature Aug 20, 2025

Animals require undisturbed periods of rest during which they undergo recuperative processes. However, it is unclear how brain states arise that are able to dissociate an animal from its external world, enabling quiescent behaviours, while retaining ... read more

Artificial Intelligence Medical Compendium