Infectious Disease

STDs

Latest AI and machine learning research in stds for healthcare professionals.

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Leveraging swin transformer with ensemble of deep learning model for cervical cancer screening using colposcopy images.

Cervical cancer (CC) is the leading cancer, which mainly affects women worldwide. It generally occur...

Construction and validation of a predictive model for meningoencephalitis in pediatric scrub typhus based on machine learning algorithms.

To retrospectively analyze the clinical characteristics of pediatric scrub typhus (ST) with meningoe...

Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

OBJECTIVES: Human papillomavirus (HPV) influences the pathobiology of Head and Neck Squamous Cell Ca...

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off-the-shelf features: A dual-dataset study.

BACKGROUND: This study aims to develop a novel predictive model for determining human papillomavirus...

Prediction and validation of anoikis-related genes in neuropathic pain using machine learning.

BACKGROUND: Neuropathic pain (NP) can be induced by a variety of clinical conditions, such as spinal...

Label-free rapid antimicrobial susceptibility testing with machine-learning based dynamic holographic laser speckle imaging.

Antimicrobial resistance (AMR) presents a significant global challenge, creating an urgent need for ...

Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.

To evaluate the quality of artificial visual percepts generated by emerging methodologies, researche...

Machine learning and cheminformatics-based Identification of lichen-derived compounds targeting mutant PBP4 in Staphylococcus aureus.

Penicillin-binding protein 4 (PBP4) is essential in imparting significant β-lactam antibiotics resis...

Artificial Intelligence Model for Detection of Colorectal Cancer on Routine Abdominopelvic CT Examinations: A Training and External-Testing Study.

Radiologists are prone to missing some colorectal cancers (CRCs) on routine abdominopelvic CT exami...

Using Natural Language Processing Methods to Predict Topics Included in 2019 Ohio Syphilis Disease Intervention Specialist Records.

BACKGROUND: Free-text notes in disease intervention specialist (DIS) records may contain relevant in...

Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops.

Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameter...

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing.

Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grad...

Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation.

Researchers are developing increasingly robust molecular representations, motivating the need for th...

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...

Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.

BACKGROUND: Amebiasis represents a significant global health concern. This is especially evident in ...

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