Primary Care

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

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Design and molecular mechanism investigation of ALK inhibitors based on virtual screening and structural descriptor modeling.

To address the challenges of target specificity and drug resistance in Anaplastic lymphoma kinase (A...

Machine learning assisted media optimization for enhanced insulin production in Pseudomonas fluorescens cell factory and scale-up studies.

Diabetes mellitus, a chronic metabolic disorder, is characterized by high blood glucose levels. Exte...

The present and future of lung cancer screening: latest evidence.

Lung cancer is the leading cause of cancer-related mortality worldwide. Early lung cancer detection ...

Broadening the Net: Overcoming Challenges and Embracing Novel Technologies in Lung Cancer Screening.

Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diag...

AI-powered precision medicine: utilizing genetic risk factor optimization to revolutionize healthcare.

The convergence of artificial intelligence (AI) and biomedical data is transforming precision medici...

Recent trends in diabetes mellitus diagnosis: an in-depth review of artificial intelligence-based techniques.

Diabetes mellitus (DM) is a highly prevalent chronic condition with significant health and economic ...

Eigenhearts: Cardiac diseases classification using eigenfaces approach.

In the realm of cardiovascular medicine, medical imaging plays a crucial role in accurately classify...

Heavy metals prediction system in groundwater using online sensor and machine learning for water management: the case of typical industrial park.

With the expansion of human industrial activities, heavy metal contamination in groundwater environm...

Advances in artificial intelligence for diabetes prediction: insights from a systematic literature review.

Diabetes mellitus (DM), a prevalent metabolic disorder, has significant global health implications. ...

NLP for computational insights into nutritional impacts on colorectal cancer care.

Colorectal cancer (CRC) is one of the most prominent cancers globally, with its incidence rising amo...

Automated engineered-stone silicosis screening and staging using Deep Learning with X-rays.

Silicosis, a debilitating occupational lung disease caused by inhaling crystalline silica, continues...

Prediction methodology of air absorbed dose rates for Chinese cities with deep learning models.

Air absorbed dose rate is a key indicator of environmental radiation exposure. In China, automated e...

Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management.

BACKGROUND: Managing blood glucose levels in Type 1 Diabetes Mellitus (T1DM) is essential to prevent...

A multi-scale convolutional LSTM-dense network for robust cardiac arrhythmia classification from ECG signals.

Cardiac arrhythmias are irregular heart rhythms that, if undetected, can lead to severe cardiovascul...

Review and reflections on live AI mammographic screen reading in a large UK NHS breast screening unit.

UNLABELLED: The Radiology team from a large Breast Screening Unit in the UK with a screening populat...

AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes.

The performance and long-term health of athletes are significantly influenced by their cardiovascula...

Clinician Suicide Risk Assessment for Prediction of Suicide Attempt in a Large Health Care System.

IMPORTANCE: Clinical practice guidelines recommend suicide risk screening and assessment across beha...

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