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Stem Cell Research

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

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High-throughput robotic isolation of human iPS cell clones reveals frequent homozygous induction of identical genetic manipulations by CRISPR-Cas9.

BACKGROUND: Genome editing in human iPS cells is a powerful approach in regenerative medicine. CRISP...

Proactive vs. passive algorithmic ethics practices in healthcare: the moderating role of healthcare engagement type in patients' responses.

BACKGROUND: Artificial intelligence (AI) is transforming healthcare, but concerns about algorithmic ...

Relational Ethics in the Administration of Healthcare Technology: AI, Automation and Proper Distance.

Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularl...

Traditional Chinese Medicine five-tone intelligent diagnosis and treatment system.

Under the background of Artificial Intelligence (AI) and medical data informationization, intelligen...

The legal and ethical considerations in cross-border telesurgical procedures.

Telesurgery, or remote surgery, represents a transformative fusion of medicine and technology, enabl...

Dimensional Synthesis of 6-DOF Parallel Robot for Intra-Operative Radiation Therapy.

BACKGROUND: In order to meet the kinematic requirements of large range of motion, payload, and stiff...

Targeted Muscle Reinnervation and Regenerative Peripheral Nerve Interface for Myoelectric Prosthesis Control: The State of Evidence.

Prosthetic rehabilitation after amputation poses significant challenges, often due to functional lim...

Machine Learning-Assisted Analysis of the Oral Cancer Immune Microenvironment: From Single-Cell Level to Prognostic Model Construction.

Oral cancer is among the most prevalent malignant tumours worldwide; prognosis can be affected by se...

Machine Learning Model to Guide Empirical Antimicrobial Therapy in Febrile Neutropenic Patients With Hematologic Malignancies.

BACKGROUND/AIM: Optimal antimicrobial selection for patients with febrile neutropenia (FN) may diffe...

Exploring therapeutic and diagnostic potential of cysteine cathepsin as targets for cancer therapy with nanomedicine.

Cysteine cathepsins have been discovered to be substantially expressed in multiple types of cancer. ...

Photobiomodulation therapy (PBMT) in skeletal muscle regeneration: A comprehensive review of mechanisms, clinical applications, and future directions.

Photobiomodulation therapy (PBMT) emerged as a significant non-invasive method of stimulating regene...

Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms.

PURPOSE: This study aimed to establish and validate a prediction model based on machine learning met...

Automated field-in-field planning for tangential breast radiation therapy based on digitally reconstructed radiograph.

BACKGROUND: The tangential field-in-field (FIF) technique is a widely used method in breast radiatio...

MRI-based multimodal AI model enables prediction of recurrence risk and adjuvant therapy in breast cancer.

Timely intervention and improved prognosis for breast cancer patients rely on early metastasis risk ...

On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook.

Computational approaches to predicting mental health conditions in social media have been substantia...

Ultra-Sparse-View Cone-Beam CT Reconstruction-Based Strictly Structure-Preserved Deep Neural Network in Image-Guided Radiation Therapy.

Radiation therapy is regarded as the mainstay treatment for cancer in clinic. Kilovoltage cone-beam ...

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