Stem Cell Research

The ethical challenges of artificial intelligence-driven digital pathology.

Digital pathology - the digitalisation of clinical histopathology services through the scanning and ...

Towards machine learning aided real-time range imaging in proton therapy.

Compton imaging represents a promising technique for range verification in proton therapy treatments...

SVM Communications: Supervised exercise therapy for symptomatic peripheral artery disease - A conversation with the experts.

Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.

Researchers, governments, ethics watchdogs, and the public are increasingly voicing concerns about u...

End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins.

Structural proteins are the basis of many biomaterials and key construction and functional component...

Computational models in inflammatory bowel disease.

Inflammatory bowel disease (IBD) is a chronic and relapsing disease with multiple underlying influen...

SHIFTing artificial intelligence to be responsible in healthcare: A systematic review.

A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare have e...

Machine Learning of Single Cell Transcriptomic Data From anti-PD-1 Responders and Non-responders Reveals Distinct Resistance Mechanisms in Skin Cancers and PDAC.

Immune checkpoint therapies such as PD-1 blockade have vastly improved the treatment of numerous can...

Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.

BACKGROUND: The evaluation of automatic segmentation algorithms is commonly performed using geometri...

Effects of Parental Involvement in Robot-Assisted Autism Therapy.

Parental involvement in traditional autism therapy is key to the effective treatment of children wit...

A Case Study of Upper Limb Robotic-Assisted Therapy Using the Track-Hold Device.

The Track-Hold System (THS) project, developed in a healthcare facility and therefore in a controlle...

A Systematic Review of Research on Robot-Assisted Therapy for Children with Autism.

Recent studies have shown that children with autism may be interested in playing with an interactive...

Embedded ethics: a proposal for integrating ethics into the development of medical AI.

The emergence of ethical concerns surrounding artificial intelligence (AI) has led to an explosion o...

Increasing motor cortex activation during grasping via novel robotic mirror hand therapy: a pilot fNIRS study.

BACKGROUND: Mirror therapy (MT) has been used for functional recovery of the affected hand by provid...

A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.

The application of artificial intelligence and machine learning (ML) technologies in healthcare have...

Comparative effects of EMG-driven robot-assisted therapy versus task-oriented training on motor and daily function in patients with stroke: a randomized cross-over trial.

BACKGROUND: Robot-assisted hand training has shown positive effects on promoting neuromuscular contr...

Magnetic Biohybrid Microrobot Multimers Based on Cells for Enhanced Targeted Drug Delivery.

Magnetic micro-/nanorobots have been regarded as a promising platform for targeted drug delivery, an...

PRCTC: a machine learning model for prediction of response to corticosteroid therapy in COVID-19 patients.

Corticosteroid has been proved to be one of the few effective treatments for COVID-19 patients. Howe...

Integrated Machine Learning and Bioinformatic Analyses Constructed a Novel Stemness-Related Classifier to Predict Prognosis and Immunotherapy Responses for Hepatocellular Carcinoma Patients.

Immunotherapy has made great progress in hepatocellular carcinoma (HCC), yet there is still a lack o...

An RNA-based theory of natural universal computation.

Life is confronted with computation problems in a variety of domains including animal behavior, sing...

Artificial Intelligence-Guided Prediction of Dental Doses Before Planning of Radiation Therapy for Oropharyngeal Cancer: Technical Development and Initial Feasibility of Implementation.

PURPOSE: The aim was to develop a novel artificial intelligence (AI)-guided clinical decision suppor...