Artificial Intelligence Medical Compendium

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 

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 

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 

BACKGROUND: The multicentre STOP-or-NOT trial has shown that continuation of renin-angiotensin-aldosterone inhibitors (RAASis) before major noncardiac surgery did not increase the rate of postoperative complications, but led to a higher incidence of ... read more 

The estimation formula by Tanaka et al. for predicting the 24-h urinary sodium (Na) excretion (24Na) from a single causal urine sample is widely used. However, it overestimates values in the low 24Na range. We aimed to develop a formula to improve th... read more 

PURPOSE: Seizure recurrence, often presenting as clusters, is a major clinical concern linked to increased morbidity. The immediate postictal period is a critical yet understudied window where recurrence frequently arises. This study evaluates whethe... read more 

Comprehensive urban waste management systems, addressing municipal waste collection and construction waste disposal, are essential for maintaining livable and sustainable cities. Understanding the spatial distribution patterns of controlled and uncon... read more 

This research examines the psychological factors that contribute to consumer intentions toward smartwatches, with a particular focus on technology adoption and consumer behavior. It incorporates motivational and decision-making psychological theories... read more 

Monitoring bio-optical attributes in estuarine environments is crucial for understanding ecosystem productivity, sediment dynamics, and climate-induced hydrological changes. This research introduces an integrated multi-sensor and machine learning app... read more 

Designing antibodies is complex and resource intensive. While deep learning and generative approaches have shown promise in the design of protein binders, achieving high affinity and stability remains challenging. We introduce EvolveX, a structure-ba... read more