Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms in .

Tuberculosis (TB), caused by , remains a significant global health threat, affecting an estimated 10...

Feb 2025 39913203
Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study.

BACKGROUND: Mumps is a viral respiratory disease characterized by facial swelling and transmitted th...

(1)
Feb 2025 39913179
Discovery of TRPV4-Targeting Small Molecules with Anti-Influenza Effects Through Machine Learning and Experimental Validation.

Transient receptor potential vanilloid 4 (TRPV4) is a calcium-permeable cation channel critical for ...

(1)
Feb 2025 39941149
Autoregressive exogenous neural structures for synthetic datasets of olive disease control model with fractional Grünwald-Letnikov solver.

A fundamental element of the Mediterranean diet, olive oil is abundant in heart-healthy monounsatura...

Feb 2025 39914198
Two-stage CNN-based framework for leukocytes classification.

Leukocytes are pivotal markers in health, crucial for diagnosing diseases like malaria and viral inf...

Feb 2025 39914203
Artificial intelligence using a latent diffusion model enables the generation of diverse and potent antimicrobial peptides.

Artificial intelligence holds great promise for the design of antimicrobial peptides (AMPs); however...

Feb 2025 39908380
Eye-tracking dataset of endoscopist-AI teaming during colonoscopy: Retrospective and real-time acquisition.

Recent studies have demonstrated that integrating AI into colonoscopy procedures significantly impro...

Feb 2025 39910061
Sharing reliable information worldwide: healthcare strategies based on artificial intelligence need external validation. Position paper.

Training machine learning models using data from severe COVID-19 patients admitted to a central hosp...

Feb 2025 39905337
Machine learning for predicting severe dengue in Puerto Rico.

BACKGROUND: Distinguishing between non-severe and severe dengue is crucial for timely intervention a...

(4)
Feb 2025 39905498
An AI-assisted morphoproteomic approach is a supportive tool in esophagitis-related precision medicine.

Esophagitis is a frequent, but at the molecular level poorly characterized condition with diverse un...

Feb 2025 39901020
Radiomics in glioma: emerging trends and challenges.

Radiomics is a promising neuroimaging technique for extracting and analyzing quantitative glioma fea...

Feb 2025 39901654
Contrastive-learning of language embedding and biological features for cross modality encoding and effector prediction.

Identifying and characterizing virulence proteins secreted by Gram-negative bacteria are fundamental...

Feb 2025 39900608
End-To-End Deep Learning Explains Antimicrobial Resistance in Peak-Picking-Free MALDI-MS Data.

Mass spectrometry is used to determine infectious microbial species in thousands of clinical laborat...

(1)
Feb 2025 39893590
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak.

BACKGROUND: Controlling re-emerging outbreaks such as COVID-19 is a critical concern to global healt...

(1)
Feb 2025 39914162
Synergistic modeling of hemorrhagic dengue fever: Passive immunity dynamics and time-delay neural network analysis.

Dengue fever poses a formidable epidemiological challenge, particularly for vulnerable groups such a...

(2)
Jan 2025 39908625
Elucidating the Mechanism of VVTT Infection Through Machine Learning and Transcriptome Analysis.

The vaccinia virus (VV) is extensively utilized as a vaccine vector in the treatment of various infe...

(1)
Jan 2025 39940969
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