AIMC Topic: Humans

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Integrated Machine Learning and Structure-Based Virtual Screening Identify Osimertinib as a TNIK Inhibitor for Idiopathic Pulmonary Fibrosis.

Journal of chemical information and modeling
Traf2-and Nck-interacting kinase (TNIK) has been implicated in fibrosis-associated signaling pathways and has recently emerged as a promising therapeutic target for idiopathic pulmonary fibrosis (IPF). In this study, we employed an integrated strateg...

Benchmarking Machine Learning Models for HIV-1 Protease Inhibitor Resistance Prediction: Impact of Data Set Construction and Feature Representation.

Journal of chemical information and modeling
The rapid emergence of drug resistance in viral infections represents a significant global health challenge, threatening the efficacy of treatments for multiple diseases. Machine learning models have emerged as valuable tools for predicting antiviral...

Robust Prediction of Protein-Ligand Binding Potency with Multi-modal Customized Gate Control.

Journal of chemical information and modeling
The main protease (Mpro) is a critical target in the design of antiviral drugs against coronaviruses, while accurately predicting the binding affinity between small molecules and this target remains a key challenge. In the recent Polaris challenge of...

Ratiometric Determination and Discrimination of Oxicams via Dual-Excitation Carbon Dots Assisted by Machine Learning.

Analytical chemistry
Oxicams, a major category of nonsteroidal anti-inflammatory drugs, are widely used in daily life. However, excessive consumption of oxicams can pose significant risks to human health. Herein, we introduce an innovative and highly sensitive fluorescen...

The Use of Technology in Improving Multidisciplinary Care in Low-Resource Settings.

Plastic and reconstructive surgery
BACKGROUND: A multidisciplinary team comprising providers from several specialties is needed for comprehensive cleft care. Although multidisciplinary cleft teams may be readily available in high-income countries, in low- and middle-income countries (...

Engineering the Future: Applying Hyaluronic Acid Filler Rheology for Enhanced Efficacy in Aesthetic Applications.

Plastic and reconstructive surgery
The 21st-century evolution of hyaluronic acid fillers has brought a diversity of novel aesthetic applications, ranging from static bony augmentation and volume correction to dynamic rhytid effacement and skin revitalization. This rapid advancement ha...

Artificial intelligence-generated informed patient consent in various ophthalmological procedures: A comparative study of correctness, completeness, readability, and real-word application between Deepseek and Chatgpt 4o.

Indian journal of ophthalmology
PURPOSE: To study the correctness, completeness, language and readability, and real-world applicability of artificial intelligence chatbots-generated informed consent forms for various ophthalmological procedures and interventions.

Applications of New Generation Sequencing (NGS) in Ocular Oncology.

International ophthalmology clinics
Next-generation sequencing (NGS) has revolutionized cancer genomics, offering unparalleled insights into the molecular landscape of various malignancies, including ocular cancers. This review explores the role of NGS in ocular oncology, highlighting ...

FDA to Use AI in Drug and Device Reviews.

The American journal of nursing
The technology could also aid in monitoring adverse effects.

Fostering trust and interpretability: integrating explainable AI (XAI) with machine learning for enhanced disease prediction and decision transparency.

Diagnostic pathology
Medical healthcare has advanced substantially due to advancements in Artificial Intelligence (AI) techniques for early disease detection alongside support for clinical decisions. However, a gap exists in widespread adoption of results of these algori...