Infectious Disease

STDs

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

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Adenovirus Burden in Allogeneic Hematopoietic Stem Cell Transplantation: Monitoring Versus Symptoms-Based Testing-A Cost-Effectiveness Analysis.

BACKGROUND: Adenovirus infection (AdVi) causes significant morbidity and mortality in allogeneic hem...

Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patients.

Head and Neck Squamous Cell Carcinoma (HNSCC) is the seventh most prevalent cancer worldwide and is ...

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic ineq...

Access to Breast Cancer Screening: Disparities and Determinants- Expert Panel Narrative Review.

Although breast cancer screening reduces mortality, disparities in access continue to limit equitabl...

Development and Pilot Testing of an Artificial Intelligence and Care Coach Intervention for Cognitively Impaired Older Adults.

BACKGROUND: Care transitions from the emergency department (ED) to community settings are particular...

Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five...

Testing for completions that simulate altruism in early language models.

Altruism underlies cooperative behaviours that facilitate social complexity. In late 2022 and early ...

Radiomics analysis for the early diagnosis of common sexually transmitted infections and skin lesions.

Early identification of sexually transmitted infection (STI) symptoms can prevent subsequent complic...

Accuracy and acceptability of self-sampling HPV testing in cervical cancer screening: a population-based study in rural Yunnan, China.

To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical can...

Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches.

Liquefaction is a phenomenon that occurs when there is a loss of strength in wet and cohesionless so...

Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite.

This research proposes a machine learning controlled method for removing the antibiotic oxytetracycl...

[Artificial intelligence under scrutiny: requirements, quality criteria, and testing tools for medical applications].

The use of artificial intelligence (AI) in medicine has great potential to improve quality and effic...

Closed-loop transcranial ultrasound stimulation based on deep learning effectively suppresses epileptic seizures in mice.

Transcranial ultrasound stimulation is a non-invasive neuromodulation technique characterized by its...

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.

Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and ac...

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home.

The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent ...

Progress in the application research of cervical cancer screening developed by artificial intelligence in large populations.

Cervical cancer stands out among various cancers due to its potential for prevention and eradication...

From combination early detection to multicancer testing: shifting cancer care toward proactive prevention and interception.

Identifying the presence of tumors at a very early stage or deciphering the process underlying their...

Estimation of soil free Iron content using spectral reflectance and machine learning algorithms.

Spectral reflectance technology has emerged as a promising tool for estimating soil properties while...

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