Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Progress and challenges of artificial intelligence in lung cancer clinical translation.

Artificial intelligence (AI) algorithms, such as convolutional neural networks and transformers, hav...

Identification of CXCR4 as a potential preventive gene in clear cell renal cell carcinoma from machine learning and immune analysis.

Clear cell renal cell carcinoma (ccRCC) represents a prevalent malignant kidney tumor characterized ...

Integrated analysis of shared gene expression signatures and immune microenvironment heterogeneity in type 2 diabetes mellitus and colorectal cancer.

Emerging evidence suggests a bidirectional relationship between colorectal cancer (CRC) and type 2 d...

Semi-automated screening of azobezenes for solar energy storage using extended tight binding methods.

In the face of the pressing climate change crisis, Molecular Solar Thermal Energy Storage (MOST) Sys...

Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increas...

Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants.

Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge...

FSID: a novel approach to human activity recognition using few-shot weight imprinting.

Accurate recognition of human activities from gait sensory data plays a vital role in healthcare and...

Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy.

Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), ...

Aggressiveness-guided nodule management for lung cancer screening in Europe-justification for follow-up intervals and definition of growth.

The European Society of Thoracic Imaging (ESTI) nodule management recommendation for lung cancer scr...

Screening biomarkers related to cholesterol metabolism in osteoarthritis based on transcriptomics.

Cholesterol metabolism-related genes (CMRGs) have been associated with osteoarthritis (OA), but thei...

Screening and validation of long non-coding RNAs associated with colorectal cancer based on random forest and LASSO regression algorithm.

OBJECTIVE: Colorectal cancer (CRC) ranks as the third most prevalent contributor to global disease b...

Machine learning based obesity and aging related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma.

BACKGROUND: Stomach adenocarcinoma (STAD) is one of most common cancers with high invasiveness and p...

Assessing Readability of Skin Cancer Screening Resources: A Comparison of Online Websites and ChatGPT Responses.

Effective communication is essential for promoting appropriate skin cancer screening for the public....

Harnessing AI for Improved Diagnosis and Management of Pediatric Sepsis: Current Advances, Challenges, and Future Directions.

Artificial intelligence (AI) has been applied to early recognition and management of rapidly progres...

Therapeutic horizons in metabolic dysfunction-associated steatohepatitis.

Metabolic dysfunction-associated steatohepatitis (MASH), the progressive inflammatory form of MASLD,...

An intelligent screener for mild cognitive impairment via integrated eye-tracking and the digital clock drawing test.

BackgroundMild cognitive impairment (MCI) is a risk factor for dementia, and early screening is cruc...

Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes.

Non-Hispanic white (White) populations are overrepresented in medical studies. Potential healthcare ...

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