Stem Cell Research

A Soft Robotic Sleeve for Compression Therapy of the Lower Limb.

'We present the development of a soft robotic-inspired device for lower limb compression therapy with application in the treatment of lymphedema. This device integrates the control capabilities of pneumatic devices with the wearability and low cost of compression garments. The design consists of a three-layered soft robotic sleeve that ensures safe skin contact, controls compression, and secures t...

Design and Simulation of a Soft Robotic Device for Muscle Rehabilitation and Blood Flow Stimulation Therapy.

Previous works have shown the efficacy of mechanical stimulation by applying pressure and vibration on muscle rehabilitation. Additionally, a temperature increase can improve both muscle performance and blood circulation during therapies. These modalities of treatment are commonly applied separately in patients with moderate disuse-induced muscle atrophy. In this paper, we propose the design of a ...

A Combined Deep Learning and Anatomical Inch Measurement Approach to Robotic Acupuncture Points Positioning.

Acupuncture therapy is one of the cornerstones in traditional Chinese medicine. It requires rich experiences from Chinese medicine practitioner. Howev...

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction.

Structure-based virtual screenings (SBVSs) play an important role in drug discovery projects. However, it is still a challenge to accurately predict t...

Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients.

Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely limited treatment options. Immunotherapy has been widely studie...

The computer says no: AI, health law, ethics and patient safety.

, Lecturer in Law, Birmingham Law School, University of Birmingham, discusses some recent reports on artificial intelligence (AI) and machine learning...

Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy.

The problem of consistent therapy adherence is a current challenge for health informatics, and its solution can increase the success rate of treatment...

Prediction of Chemosensitivity in Multiple Primary Cancer Patients Using Machine Learning.

BACKGROUND/AIM: Many cancer patients face multiple primary cancers. It is challenging to find an anticancer therapy that covers both cancer types in s...

A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology.

Digitalization in nephrology has progressed in a manner that is disparate and siloed, even though learning (under a broader Learning Health System ini...

[Effect of rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy on postoperative rehabilitation with hip fracture].

OBJECTIVE: To compare the therapeutic effect between rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy and simpl...

[A Case of Descending Colon and Rectal Cancer with Acute Myeloid Leukemia Performed Robot‒Assisted Hartmann's Procedure].

The case is a 68‒year‒old male, who had been diagnosed with acute myeloid leukemia(AML)prior to rectal cancer surgery, was referred to our hospital fo...

Artificial intelligence in cancer diagnostics and therapy: current perspectives.

Artificial intelligence (AI) has found its way into every sphere of human life including the field of medicine. Detection of cancer might be AI's most...

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 combinations could help to overcome drug resistance. H...

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 neurodegenerative diseases, diabetes, cardiovascul...

Insights into Futuristic Renal Medicine.

The revolutionary innovations in biology and information technology influenced many medical and health disciplines. Although it is lagging behind othe...

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 sites during embryonic development. The in vitro diffe...

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 or single lesions larger than 5 mm. In contrast to...

Landscape of Machine Implemented Ethics.

This paper surveys the state-of-the-art in machine ethics, that is, considerations of how to implement ethical behaviour in robots, unmanned autonomou...

Limits of Neural Computation in Humans and Machines.

Aicardi et al. (Ethical and social aspects of neurorobotics, Science and Engineering Ethics, 2020) look to neuroscience to mitigate the limitations of...

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 to transform healthcare. In radiology, AI is about...