Stem Cell Research

Comparison of active-assisted and active-unassisted robot-mediated upper limb therapy in subacute stroke.

BACKGROUND: Upper-limb robot-mediated therapy is usually carried out in active-assisted mode because...

A Review on the Role of Artificial Intelligence in Stem Cell Therapy: An Initiative for Modern Medicines.

Stem Cells (SCs) show a wide range of applications in the treatment of numerous diseases, including ...

Synergistic Drug Combination Prediction by Integrating Multiomics Data in Deep Learning Models.

Intrinsic and acquired drug resistance is a major challenge in cancer therapy. Synergistic drug comb...

Single-cell analyses and machine learning define hematopoietic progenitor and HSC-like cells derived from human PSCs.

Hematopoietic stem and progenitor cells (HSPCs) develop in distinct waves at various anatomical site...

Dermoscopic Features of Giant Molluscum Contagiosum in a Patient with Acquired Immunodeficiency Syndrome.

Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple ...

A comprehensive review of deep learning applications in hydrology and water resources.

The global volume of digital data is expected to reach 175 zettabytes by 2025. The volume, variety a...

Computed Tomography Image Reconstruction.

Filtered back projection was used in computed tomography (CT) but produced low-dose CT images that w...

AI Ethics Is Not a Panacea.

Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications.

Machine Learning in Healthcare: Exceptional Technologies Require Exceptional Ethics.

The Ethics of Socially Assistive Robots in Aged Care. A Focus Group Study With Older Adults in Flanders, Belgium.

OBJECTIVES: Socially assistive robots (SARs) need to be studied from older adults' perspective, give...

Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT.

BACKGROUND: Loss of arm function is common after stroke. Robot-assisted training may improve arm out...

Computational Goals, Values and Decision-Making.

Considering the popular framing of an artificial intelligence as a rational agent that always seeks ...

Limits of Neural Computation in Humans and Machines.

Aicardi et al. (Ethical and social aspects of neurorobotics, Science and Engineering Ethics, 2020) l...

Landscape of Machine Implemented Ethics.

This paper surveys the state-of-the-art in machine ethics, that is, considerations of how to impleme...

Blame-Laden Moral Rebukes and the Morally Competent Robot: A Confucian Ethical Perspective.

Empirical studies have suggested that language-capable robots have the persuasive power to shape the...

The STAR-C Intelligent Coach: A Cross-Disciplinary Design Process of a Behavior Change Intervention in Primary Care.

A broad range of aspects are needed to be taken into consideration in the design and development of ...

Ethics, Artificial Intelligence and Cardiology.

Ethical considerations for artificial intelligence: an overview of the current radiology landscape.

Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and ...

A critical perspective on guidelines for responsible and trustworthy artificial intelligence.

Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicin...

Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning Approach.

OBJECTIVE: To identify important clinical or imaging features predictive of an individual's response...