Public Health & Policy

Stem Cell Research

Latest AI and machine learning research in stem cell research for healthcare professionals.

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Machine learning-based QSAR and molecular modeling identify promising PTP1B modulators from Ocimum gratissimum for type 2 diabetes therapy.

Protein tyrosine phosphatase 1B (PTP1B) is a key negative regulator of insulin signaling and a promi...

Adolescent lumbar disc herniation: etiology, diagnosis, and treatment options.

Adolescent lumbar disc herniation (ALDH) is a type of disease with a much lower incidence than adult...

Performance of large language models (ChatGPT4-0, Grok2 and Gemini) in UK dentistry and dental hygiene and therapy assessments.

Background Artificial intelligence, particularly large language models (LLMs), have demonstrated cap...

AI-driven discovery of brain-penetrant Galectin-3 inhibitors for Alzheimer's disease therapy.

Galectin-3 (Gal-3) has emerged as a critical regulator of neuroinflammation and a promising therapeu...

Biomanufacturing in low Earth orbit: A paradigm shift.

This perspective article explores the transformative potential of biomanufacturing in low Earth orbi...

AI adoption in Chinese universities: Insights, challenges, and opportunities from academic leaders.

This study explores the perceptions, challenges, and strategies related to the integration of Artifi...

Machine learning model for predicting recurrence following intensity-modulated radiation therapy in nasopharyngeal carcinoma.

BACKGROUND: Nasopharyngeal carcinoma (NPC) exhibits unique histopathological characteristics compare...

Can CTA-based Machine Learning Identify Patients for Whom Successful Endovascular Stroke Therapy is Insufficient?

BACKGROUND AND PURPOSE: Despite advances in endovascular stroke therapy (EST) devices and techniques...

Enhancing image quality in fast neutron-based range verification of proton therapy using a deep learning-based prior in LM-MAP-EM reconstruction.

This study investigates the use of list-mode (LM) maximum(MAP) expectation maximization (EM) incorpo...

Magnetic-Driven Hydrogel Robots Loaded with Mitomycin for Active Therapy of Bladder Cancer.

Intravesical drug instillation is a common treatment for bladder cancer, but it suffers from poor ta...

Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing.

Cell therapies like Chimeric Antigen Receptor (CAR)-T cell therapy deliver living cells to patients ...

Multifunctional nanophotonic photoacoustic biosensors: a new era in molecular imaging-guided deep-tissue cancer monitoring.

Monitoring cancer therapy is difficult because of restricted imaging depth, inadequate molecular spe...

Advances in molecular pathology and therapy of non-small cell lung cancer.

Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements...

Stereotactic Body Radiation Therapy for Primary Renal Cancer and Genetic Markers of Response: A Phase 2 Trial.

Controlled outcome assessment of radiotherapy for primary renal cell carcinoma (RCC) remains limited...

Qualitative evaluation of automatic liver segmentation in computed tomography images for clinical use in radiation therapy.

PURPOSE: Segmentation of target volumes and organs at risk on computed tomography (CT) images consti...

Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysis.

BACKGROUND: Chordomas are primary bone lesions originating from embryonic notochord remnants, most c...

Machine learning application for bleeding risk prediction in patients with atrial fibrillation treated with oral anticoagulation.

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with a significantly increased...

ChatGPT: Pharmacy students' perceptions, current use trends, ethical awareness, standards of ethics, prospects and recommendations for future use.

The launch of ChatGPT by OpenAI reflected a significant turning point in the search and management o...

Establishing predictive machine learning models for drug responses in patient derived cell culture.

The concept of personalised medicine in cancer therapy is becoming increasingly important. There alr...

3D bioprinting in tissue engineering: current state-of-the-art and challenges towards system standardization and clinical translation.

Over the past decade, 3D bioprinting has made significant progress, transforming into a key innovati...

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