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Stem Cell Research

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

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Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.

BACKGROUND: Automatic solutions for generating radiotherapy treatment plans using deep learning (DL)...

Osteoporosis in Adrenal Insufficiency: Could Metformin be Protective?

Adrenal insufficiency (AI) is a serious disorder characterized by the adrenal glucocorticoid deficie...

Elaborating the potential of Artificial Intelligence in automated CAR-T cell manufacturing.

This paper discusses the challenges of producing CAR-T cells for cancer treatment and the potential ...

Real-time semantic segmentation and anomaly detection of functional images for cell therapy manufacturing.

BACKGROUND AIMS: Cell therapy is a promising treatment method that uses living cells to address a va...

Deep learning in MRI-guided radiation therapy: A systematic review.

Recent advances in MRI-guided radiation therapy (MRgRT) and deep learning techniques encourage fully...

Deep-learning Method for the Prediction of Three-Dimensional Dose Distribution for Left Breast Cancer Conformal Radiation Therapy.

AIMS: An increase in the demand of a new generation of radiotherapy planning systems based on learni...

Artificial Intelligence in Enhancing Syncope Management - An Update.

This review looks into the use of Artificial Intelligence (AI) in the management of syncope, a condi...

Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers.

BACKGROUND: In recent years, deep-learning models have been used to predict entire three-dimensional...

NN-RNALoc: Neural network-based model for prediction of mRNA sub-cellular localization using distance-based sub-sequence profiles.

The localization of messenger RNAs (mRNAs) is a frequently observed phenomenon and a crucial aspect ...

Proton range uncertainty caused by synthetic computed tomography generated with deep learning from pelvic magnetic resonance imaging.

BACKGROUND: In proton therapy, it is disputed whether synthetic computed tomography (sCT), derived f...

The unintended consequences of artificial intelligence in paediatric radiology.

Over the past decade, there has been a dramatic rise in the interest relating to the application of ...

Artificial intelligence and Italian culture: an understanding of how artificial intelligence can transform the radiation therapy landscape.

The aim is to support the perception of artificial intelligence in the radiation therapy landscape.

Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy.

OBJECTIVES: Anti-thrombotic therapy is the basis of thrombosis prevention and treatment. Bleeding is...

Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support.

The well-being of students and staff directly affects their output and efficiency. This study presen...

Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor.

The ethics of generative artificial intelligence (AI) use in scientific manuscript content creation ...

Generative AI in Medical Imaging: Applications, Challenges, and Ethics.

Medical imaging is playing an important role in diagnosis and treatment of diseases. Generative arti...

Real-Time Motion Analysis With 4D Deep Learning for Ultrasound-Guided Radiotherapy.

Motion compensation in radiation therapy is a challenging scenario that requires estimating and fore...

Defending explicability as a principle for the ethics of artificial intelligence in medicine.

The difficulty of explaining the outputs of artificial intelligence (AI) models and what has led to ...

Artificial intelligence in forensic medicine and forensic dentistry.

This review article aims to highlight the current possibilities for applying Artificial Intelligence...

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