Artificial Intelligence Medical Compendium

Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. These approaches, however, often focus on the antibody complementarity-determining region (CDR) whilst ignoring the i... read more 

The design of fluid channel structures of reactors or separators of chemical processes is a key to enhancing the mass transfer processes inside the devices. However, systematically designing channel topological structures remains challenging for comp... read more 

FDA issued guidance on April 10th, 2025 to phase out animal trials in favor of organoids and organ-on-a-chip systems. This pivotal move was swiftly followed by National Institutes of Health (NIH) on April 29th, when it inaugurated the Office of Resea... read more 

The rise of antibiotic-resistant pathogens, particularly gram-negative bacteria, highlights the urgent need for novel therapeutics. Drug-resistant infections now contribute to approximately 5 million deaths annually, yet traditional antibiotic discov... read more 

Fifth generation (5G) networks are desired to offer improved data rates employed for enhancing innovations of device-to-device (D2D) communication, small base stations densification, and multi-tier heterogeneous networks. In relay-assisted D2D commun... read more 

Treating pulmonary diseases is pivotal in healthcare since they are the third leading cause of mortality globally. To aid medical experts in diagnosis, various studies have been conducted using artificial intelligence (AI) compatible devices to analy... read more 

BACKGROUND: Mycobacterium tuberculosis (MTB) is a human-specific pathogen that primarily infects humans, causing tuberculosis (TB). Antimicrobial resistance (AMR) in MTB presents a formidable challenge to global health. The employment of machine lear... read more 

Late detection of periodontitis has significant health implications. Screening via oral images may serve as an accessible nonclinical method. This study tested the hypothesis that diagnostic information in oral images can aid a deep learning algorith... read more 

OBJECTIVE: Despite exponential growth in artificial intelligence (AI) research for laboratory medicine and pathology, a significant gap exists between model development and clinical AI implementation. This article introduces a structured framework, t... read more 

We present adaptive, strain-engineered photodetectors based on 2D semiconductors. Our devices present a footprint of only about 40 × 20 μm, and they are fabricated on transparent polypropylene substrates and integrate lithographically designed microh... read more