Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 821 to 830 of 159,839 articles

Topic modeling-based prediction of software defects and root cause using BERTopic, and multioutput classifier.

Scientific reports
The occurrence of software defects remains a major obstacle in software engineering, resulting in costly debugging and maintenance efforts. This study introduces a new angle for software defect prediction (SDP), utilizing advanced natural language pr... read more 

Solving nonlinear and complex optimal control problems via multi-task artificial neural networks.

Scientific reports
This article proposes a novel approach using multi-task learning for solving nonlinear and complex optimal control problems. A neural network-based framework is proposed by unifying state, control, and adjoint dynamics into the three separate neural ... read more 

Uncertainty aware domain incremental learning for cross domain depression detection.

Scientific reports
Deep learning techniques have demonstrated significant promise for detecting Major Depressive Disorder (MDD) from textual data but they still face limitations in real-world scenarios. Specifically, given the limited data availability, some efforts ha... read more 

China's county-level monthly CO emissions during 2013-2021.

Scientific data
The top-down method is widely used to estimate China's CO emissions at the county level. However, studies have relied on a single indicator of regional total nighttime light brightness as an instrumental variable for prediction, leading to the assump... read more 

Biomolecular Interaction Prediction in the Pre- and Post-AlphaFold Era: The 8th CAPRI Evaluation.

Proteins
We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (excluding the CASP and COVID-related Rounds), which have witnessed the transition to AI-driven prediction tools such as AlphaFold and related alternative... read more 

Measurement and prediction of small molecule retention by Gram-negative bacteria based on a large-scale LC/MS screen.

Scientific reports
The challenge of assessing intracellular accumulation represents a major hurdle to the discovery of new antibiotics with Gram-negative activity. To address this, a high-throughput assay was developed to measure compound uptake and retention in Escher... read more 

Moving past multidisciplinary discussions and Gender-Age-Physiology model: precision medicine through biological phenotyping in interstitial lung disease.

Current opinion in pulmonary medicine
PURPOSE OF REVIEW: Interstitial lung disease (ILD) presents significant diagnostic and therapeutic challenges due to underlying biological heterogeneity and variable clinical course. Traditional diagnostic and prognostic tools are limited in their ab... read more 

Insight mechanism of ANN model for denitrification in spouted bed bioreactor.

Scientific reports
Numerous technologies have been developed to remove nitrate from wastewater due to its significant health and environmental impacts. In the present study, an isolate of Pseudomonas syringae was utilized to investigate the denitrification rate using i... read more 

Integrating AI and CRISPR Cas13a for rapid detection of tomato brown rugose fruit virus.

Scientific reports
The Tomato Brown Rugose Fruit Virus (ToBRFV) has recently emerged as a serious threat to global tomato production, underscoring the need for rapid and sensitive diagnostic tools. Here, we present an AI-driven CRISPR-Cas13a pipeline for designing crRN... read more 

Diagnostic technologies for neuroblastoma.

Lab on a chip
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenicity. Current medical diagnostic methods involve an array of techniques, from blood tests to tumour biopsies. This process is associated with long-term ... read more