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Stem Cell Research

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

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Eravacycline, an antibacterial drug, repurposed for pancreatic cancer therapy: insights from a molecular-based deep learning model.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains a serious threat to health, with limited...

[ChatGPT: aid to medical ethics decision making?].

BACKGROUND: Physicians have to make countless decisions every day. The medical, ethical and legal as...

StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides.

MOTIVATION: Diabetes is a chronic metabolic disorder that has been a major cause of blindness, kidne...

Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy.

Radiation therapy interruptions drive cancer treatment failures; they represent an untapped opportun...

Deep learning for automated segmentation in radiotherapy: a narrative review.

The segmentation of organs and structures is a critical component of radiation therapy planning, wit...

Deep learning predicts therapy-relevant genetics in acute myeloid leukemia from Pappenheim-stained bone marrow smears.

The detection of genetic aberrations is crucial for early therapy decisions in acute myeloid leukemi...

The Ultimate Assistant: How AI Can Optimize Treatment for Cardiology Patients.

Artificial intelligence (AI) is becoming all-pervasive, impacting our lives in ways that are sometim...

Neurocyberethics, a new and pertinent approach to neuroethics.

Ethics in neuroscience presents an evolutionary development that has required a more punctual attent...

Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach.

Head and neck squamous cell carcinoma (HNSCC) exhibits a poor 5-year survival rate. TNFRSF4 is gaini...

Prediction of T Stage of Rectal Cancer After Neoadjuvant Therapy by Multi-Parameter Magnetic Resonance Radiomics Based on Machine Learning Algorithms.

INTRODUCTION: Since the response of patients with rectal cancer (RC) to neoadjuvant therapy is highl...

Using Artificial Intelligence to Identify Effective Components of Computer-Assisted Cognitive Behavioural Therapy.

Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well establishe...

USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPROACHES TO ENHANCE CANCER THERAPY AND DRUG DISCOVERY: A NARRATIVE REVIEW.

BACKGROUND: This paper looks at how AI and machine learning have been applied over the last ten year...

The Prospect of Artificial Intelligence-Supported Ethics Review.

The burden of research ethics review falls not just on researchers, but also on those who serve on r...

Focusing a Bioethics Lens on the Development and Use of Artificial Intelligence in Medicine and Neurosurgery.

The rapid pace of development and application of digital technology and data science, including arti...

Declaration of Computational Neurosurgery.

Computational neurosurgery is a novel and disruptive field where artificial intelligence and computa...

Artificial Intelligence Application for Anti-tumor Drug Synergy Prediction.

Currently, the main therapeutic methods for cancer include surgery, radiation therapy, and chemother...

Patient Autonomy in Medical Education: Navigating Ethical Challenges in the Age of Artificial Intelligence.

The increasing integration of Artificial Intelligence (AI) in the medical domain signifies a transfo...

Corrigendum to: Super-resolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning.

The funding details have been incorporated upon author's request in the funding section of this arti...

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