Artificial Intelligence Medical Compendium

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

Showing 431 to 440 of 6,574 articles

Exploring the mechanism of metabolic cell death-related genes AKR1C2 and MAP1LC3A as biomarkers in Parkinson's disease.

Scientific reports Jul 15, 2025
There is a strong relationship between metabolic cell death (MCD) and neurodegenerative diseases. However, the involvement of metabolic cell death (MCD)-related genes (MCDRGs) in Parkinson's disease (PD) pathogenesis remains poorly analyzed. Integrat... read more 
Humans Biomarkers Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Parkinson Disease Cell Death Gene Expression Regulation Microtubule-Associated Proteins

Multiobjective optimization of CO injection under geomechanical risk in high water cut oil reservoirs using artificial intelligence approaches.

Scientific reports Jul 15, 2025
To obtain the maximum field oil recovery (FOR) and CO sequestration ratio (CSR), it is imperative to optimize the CO injection and liquid production rate. However, previous studies ignore the geomechanical risks indeed. Therefore, a hybrid optimizati... read more 

Advancing crop recommendation system with supervised machine learning and explainable artificial intelligence.

Scientific reports Jul 15, 2025
Agriculture is one of the most important sectors, as many countries' economies depend on it. At the same time, meeting the food requirements of the increasing population is also challenging, as the land for agriculture is curtailed everywhere. Thus, ... read more 

Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties.

Scientific reports Jul 15, 2025
The multifaceted effects of the presence of thiophenic compounds on the environment are significant and cannot be overlooked. As heterocyclic compounds, thiophene and its derivatives play a significant role in materials science, particularly in the d... read more 

Research on multi-branch residual connection spectrum image classification based on attention mechanism.

Scientific reports Jul 15, 2025
The acoustic spectrogram arranges the frequencies in the sound along the frequency spread, and translates the spectral changes into the intensity, wavelength and frequency of the electrical signals. Currently, the extensive use of convolutional neura... read more 

Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization - backpropagation neural networks.

Scientific reports Jul 15, 2025
In order to calibrate the properties of the organic fertilizer particles, this work employs an integrated strategy that combines simulations, machine vision techniques, and physical experiments. Through physical testing, the fundamental physical char... read more 

A unified ontological and explainable framework for decoding AI risks from news data.

Scientific reports Jul 15, 2025
Artificial intelligence (AI) is rapidly permeating various aspects of human life, raising growing concerns about its associated risks. However, existing research on AI risks often remains fragmented-either limited to specific domains or focused solel... read more 

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

Scientific reports Jul 15, 2025
The advancement of the Internet of Medical Things (IoMT) has transformed healthcare delivery by enabling real-time health monitoring. However, it introduces critical challenges related to latency and, more importantly, the secure handling of sensitiv... read more 
Humans Monitoring, Physiologic Internet of Things Computer Security Cloud Computing

A comparative study and simple baseline for travel time prediction.

Scientific reports Jul 15, 2025
Accurate travel time prediction (TTP) is essential to freeway users, including drivers, administrators, and freight-related companies, for enabling them to plan trips effectively and mitigate traffic congestion. However, TTP is a complex challenge ev... read more 

Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.

Scientific reports Jul 15, 2025
Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. This drug has serious adverse drug reactions (ADRs), including the risk of severe neutropenia (agranulocytosis). Patients who could benefit from clozapin... read more 
Humans Machine Learning Algorithms Biomarkers Female Adult Male Middle Aged Schizophrenia Drug-Related Side Effects and Adverse Reactions Clozapine Antipsychotic Agents Agranulocytosis
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