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Stem Cell Research

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

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Will microfluidics enable functionally integrated biohybrid robots?

The next robotics frontier will be led by biohybrids. Capable biohybrid robots require microfluidics...

Therapy resistance mechanisms in hematological malignancies.

Hematologic malignancies are model diseases for understanding neoplastic transformation and serve as...

Danshao Shugan Granule therapy for non-alcoholic fatty liver disease.

BACKGROUND: Danshao Shugan Granules (DSSG), a traditional Chinese medicine (TCM), is given to protec...

Study on Regenerative Processing Performance of Chlorinated Polyethylene Based on Wireless Network and Artificial Intelligence Technology.

The development of Information Technology has intruded the chemical industry. In the conventional ch...

A Home-based Tele-rehabilitation System With Enhanced Therapist-patient Remote Interaction: A Feasibility Study.

As a promising alternative to hospital-based manual therapy, robot-assisted tele-rehabilitation ther...

Extending Robot Therapy for Children with Autism Using Mobile and Web Application.

Robot treatments for children with autism have proven to be successful and effective. However, the r...

Towards Ethical AI: Empirically Investigating Dimensions of AI Ethics, Trust Repair, and Performance in Human-AI Teaming.

OBJECTIVE: Determining the efficacy of two trust repair strategies (apology and denial) for trust vi...

Robot therapy pets get a starring role in and in real life.

Roboticists are working on real-world versions of Sox, a robot companion in , to play therapeutic ro...

Gene Identification and Potential Drug Therapy for Drug-Resistant Melanoma with Bioinformatics and Deep Learning Technology.

BACKGROUND: Melanomas are skin malignant tumors that arise from melanocytes which are primarily trea...

Implementing robotics and artificial intelligence.

An automated platform for cell culture combines robotics and artificial intelligence to optimize cel...

Deep learning methods for enhancing cone-beam CT image quality toward adaptive radiation therapy: A systematic review.

The use of deep learning (DL) to improve cone-beam CT (CBCT) image quality has gained popularity as ...

Public views on ethical issues in healthcare artificial intelligence: protocol for a scoping review.

BACKGROUND: In recent years, innovations in artificial intelligence (AI) have led to the development...

WLAN RSS-Based Fingerprinting for Indoor Localization: A Machine Learning Inspired Bag-of-Features Approach.

Location-based services have permeated Smart academic institutions, enhancing the quality of higher ...

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