AIMC Topic: Humans

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ProfhEX: Empowering Early Drug Discovery with Machine Learning-Based Target Profiling and Liability Prediction.

Journal of chemical information and modeling
The drug discovery process is inherently lengthy, complex, and costly, with high attrition rates driven by safety concerns, limited efficacy, and regulatory barriers. AI-driven computational methods have become crucial in accelerating this process by...

Comprehensive Evaluation of Human and Murine Protein Coronae Formed on Choline Carboxylic Acid Ionic Liquid-Modified PLGA Nanoparticles.

Bioconjugate chemistry
Despite decades of research, the successful clinical translation of intravenously administered nanomedicines is underwhelming. One significant barrier to progress is the opsonization and rapid clearance from the bloodstream due to protein corona form...

A Smart Finger for Soft Material Identification Based on a Multimodal Tactile Sensor.

ACS applied materials & interfaces
Existing artificial tactile sensing technologies face significant challenges in addressing signal instability caused by the complex mechanical responses of soft materials. Here, a multimodal smart tactile finger based on a triboelectric nanogenerator...

Circulating long non-coding RNAs as predictors of type 2 diabetes mellitus development: results from the CORDIOPREV study.

Cardiovascular diabetology
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a growing global health challenge. Conventional diagnostic tools have limited sensitivity and specificity for early-stage disease. In this context, long non-coding RNAs (lncRNAs) have emerged as promisin...

A self-supervised learning method for detection of retinitis pigmentosa and Stargardt disease.

Scientific reports
Retinitis pigmentosa (RP) and Stargardt Disease (STGD) are inherited retinal diseases that can seriously affect vision. In this study, we present a novel, two-phase self-supervised learning method that addresses the challenge of limited labeled data ...

Construction and validation of the prediction model for kinesiophobia in older adults with chronic low back pain.

BMC geriatrics
BACKGROUND: Low back pain imposes a substantial burden on global healthcare systems. Kinesiophobia is highly prevalent among older adults with chronic low back pain, severely hindering effective intervention and treatment. However, current assessment...

Precise diagnosis of small invasive pulmonary nodules driven by single-cell immune signatures in peripheral blood.

Nature communications
Early detection of lung cancer is crucial for improving patient outcomes. However, accurately diagnosing invasive pulmonary nodules and predicting tumor invasiveness remain major clinical challenges. Given the established role of immune dysfunction i...

Assessment of the risk of osteoporotic bone fracture in postmenopausal women using machine learning methods.

Scientific reports
The main objective of osteoporosis management is to prevent osteoporotic fractures. Using machine learning methods, new risk variables can be identified to enhance the ability to identify women with osteoporosis who are at an increased risk of bone f...

COVID-19 severity analysis for clinical decision support based on machine learning approach.

Scientific reports
The COVID-19 pandemic has placed immense pressure on global healthcare systems, underscoring the urgent need for early and accurate prediction of disease severity to improve patient care and optimize resource allocation. Failure in ward allocation ca...

Classifying human vs. AI text with machine learning and explainable transformer models.

Scientific reports
The rapid proliferation of AI-generated text from models such as ChatGPT-3.5 and ChatGPT-4 has raised critical challenges in verifying content authenticity and ensuring ethical use of language technologies. This study presents a comprehensive framewo...