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Stem Cell Research

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

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Addressing the Ethics of Telepresence Applications Through End-User Engagement.

Portacolone et al.'s Ethics Review highlights the ethical challenges associated with the implementat...

Ethics in the Era of Artificial Intelligence.

Ethics can be interesting and fascinatingly compelling because of the subtle natures of its solution...

Future Vision 2020 and Beyond-5 Critical Trends in Eye Research.

Ophthalmology has been at the forefront of many innovations in basic science and clinical research. ...

Effects of robot-assisted gait training alongside conventional therapy on the development of walking in children with cerebral palsy.

PURPOSE: To investigate the effects of robot-assisted gait training (RAGT) alongside conventional th...

[Robots for care. The ethics of measured action in the face of uncertainty].

Beyond the utopian or dystopian scenarios that accompany the progressive introduction of robots for ...

Artificial Intelligence in Clinical Neuroscience: Methodological and Ethical Challenges.

Clinical neuroscience is increasingly relying on the collection of large volumes of differently stru...

Artificial Intelligence in Service of Human Needs: Pragmatic First Steps Toward an Ethics for Semi-Autonomous Agents.

The ethics of robots and artificial intelligence (AI) typically centers on "giving ethics" to as-yet...

"Sorry I Didn't Hear You." The Ethics of Voice Computing and AI in High Risk Mental Health Populations.

This article examines the ethical and policy implications of using voice computing and artificial in...

The Ethics of Medical AI and the Physician-Patient Relationship.

This article considers recent ethical topics relating to medical AI. After a general discussion of r...

Targeted prescription of cognitive-behavioral therapy versus person-centered counseling for depression using a machine learning approach.

OBJECTIVE: Depression is a highly common mental disorder and a major cause of disability worldwide. ...

Upper Limb Robotic Rehabilitation After Stroke: A Multicenter, Randomized Clinical Trial.

BACKGROUND AND PURPOSE: After stroke, only 12% of survivors obtain complete upper limb (UL) function...

Application of Machine Learning Methods in Predicting Nuclear Receptors and their Families.

Nuclear receptors (NRs) are a superfamily of ligand-dependent transcription factors that are closely...

A Deep Learning Framework for Predicting Response to Therapy in Cancer.

A major challenge in cancer treatment is predicting clinical response to anti-cancer drugs on a pers...

Relationship of soluble ST2 to pulmonary hypertension severity in patients undergoing cardiac resynchronization therapy.

BACKGROUND: Pulmonary hypertension (PH) is an adverse prognostic marker in patients undergoing cardi...

A future of automated image contouring with machine learning in radiation therapy.

Automated image contouring is showing improvements in efficiency for a number of clinical tasks in r...

Designing nanoparticle release systems for drug-vitamin cancer co-therapy with multiplicative perturbation-theory machine learning (PTML) models.

Nano-systems for cancer co-therapy including vitamins or vitamin derivatives have showed adequate re...

Healing Relationships.

In a 2015 Hastings Center Report essay, Robert Truog and his coauthors argued that the clinical ethi...

["The ethical risks associated with artificial intelligence must be identified and regulated"].

Artificial intelligence and its applications in healthcare inevitably raise ethical questions. The '...

Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.

Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented t...

Predictors of functional and motor outcomes following upper limb robot-assisted therapy after stroke.

Robot-assisted therapy is an effective treatment for stroke patients and has recently gained popular...

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