Public Health & Policy

Stem Cell Research

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

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Therapy for Abnormal Muscle Synergies in Stroke Using the ULIX Low-Impedance Robot.

Patients who suffer from stroke often experience synergistic movements that make completion of activ...

Embryonic Quality Assessment using Advanced Deep Learning Architectures utilizing Microscopic Images of Blastocysts.

The accurate evaluation of embryonic quality which is a key aspect in Assisted Reproductive Technolo...

Multidimensional feature analysis shows stratification in robotic-motor-training gains based on the level of pre-training motor impairment in stroke.

Stroke involves heterogeneity in injury and ongoing endogenous recovery, which are seldom stratified...

Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning.

Inhalation therapy is the predominant method of treatment for a variety of respiratory diseases. The...

Wireless Earphone-based Real-Time Monitoring of Breathing Exercises: A Deep Learning Approach.

Several therapy routines require deep breathing exercises as a key component and patients undergoing...

[ARTIFICIAL INTELLIGENCE AND MEDICAL ETHICS].

Artificial intelligence has burst into our lives with great vigor in recent years. We encounter it i...

Design optimization of geometrically confined cardiac organoids enabled by machine learning techniques.

Stem cell organoids are powerful models for studying organ development, disease modeling, drug scree...

Machine learning in time-lapse imaging to differentiate embryos from young vs old mice†.

Time-lapse microscopy for embryos is a non-invasive technology used to characterize early embryo dev...

Mathematical Model-Driven Deep Learning Enables Personalized Adaptive Therapy.

UNLABELLED: Standard-of-care treatment regimens have long been designed for maximal cell killing, ye...

Virtual Labs and Designer Bugs - Generative AI, Synthetic Biology and National Security.

AI technologies can pose a major national security concern. AI programs could be used to develop che...

Extracting Systemic Anticancer Therapy and Response Information From Clinical Notes Following the RECIST Definition.

PURPOSE: The RECIST guidelines provide a standardized approach for evaluating the response of cancer...

Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.

STUDY OBJECTIVES: The standard of care for military personnel with insomnia is cognitive behavioral ...

Machine Learning Links T-cell Function and Spatial Localization to Neoadjuvant Immunotherapy and Clinical Outcome in Pancreatic Cancer.

Tumor molecular data sets are becoming increasingly complex, making it nearly impossible for humans ...

[The ethics of IA in medicine must be based on the practical ethics of the healthcare relationship].

THE ETHICS OF IA IN MEDICINE MUST BE BASED ON THE PRACTICAL ETHICS OF THE HEALTHCARE RELATIONSHIP. A...

Symbiosis of Technology and Ethics: Preliminary Results of an Inquiry into the Moral Dimensions in the Use of Robotic Systems in Patient Care.

The present study aims to describe ethical and social requirements for technical and robotic systems...

Acceptance of Telepresence Robotics, Telecare and Teletherapy Among Stroke Patients, Relatives and Therapy Staff.

BACKGROUND: Stroke as a cause of disability in adulthood causes an increasing demand for therapy and...

High-throughput genetic manipulation of multicellular organisms using a machine-vision guided embryonic microinjection robot.

Microinjection is a technique used for transgenesis, mutagenesis, cell labeling, cryopreservation, a...

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