Public Health & Policy

Stem Cell Research

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

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Validation of a Cyclic Algorithm to Proxy Number of Lines of Systemic Cancer Therapy Using Administrative Data.

PURPOSE: Researchers are automating the process for identifying the number of lines of systemic canc...

Artificial intelligence in drug combination therapy.

Currently, the development of medicines for complex diseases requires the development of combination...

Factors Affecting Venture Funding of Healthcare AI Companies.

Venture Capital (VC) funding raised by companies producing Artificial Intelligence (AI) or Machine L...

Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN.

We present a LSTM (Long Short-Term Memory) based RNN (recurrent neural network) method for predictin...

Method for Muscle Tone Monitoring During Robot-Assisted Therapy of Hand Function: A Proof of Concept.

Robot-assisted rehabilitation of hand function is becoming an established approach to complement con...

Soft Robotic Bilateral Hand Rehabilitation System for Fine Motor Learning.

This paper presents the development of a pneumatically actuated soft robotic based bilateral therapy...

Towards Data-Driven Autonomous Robot-Assisted Physical Rehabilitation Therapy.

Task-oriented therapy consists of three stages: demonstration, observation and assistance. While dem...

Big data and machine learning algorithms for health-care delivery.

Analysis of big data by machine learning offers considerable advantages for assimilation and evaluat...

Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting.

IMPORTANCE: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncolo...

MR-based treatment planning in radiation therapy using a deep learning approach.

PURPOSE: To develop and evaluate the feasibility of deep learning approaches for MR-based treatment ...

Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy.

BACKGROUND: The absolute risk reduction (ARR) in cardiovascular events from therapy is generally ass...

Rhythmic robotic training enhances motor skills of both rhythmic and discrete upper-limb movements after stroke: a longitudinal pilot study.

Discrete and rhythmic movements are two fundamental motor primitives being, at least partially, cont...

Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery.

BACKGROUND: This paper aims to move the debate forward regarding the potential for artificial intell...

Designing an Engineered Construct Gene Sensitive to Carbohydrate In-vitro and Candidate for Human Insulin Gene Therapy In-vivo.

Diabetes is a common disorder worldwide, and exhaustive efforts have been made to cure this disease....

Social Robots as a Complementary Therapy in Chronic, Progressive Diseases.

Globally, the world population is ageing, which increases the prevalence of non-communicable disease...

Regeneration of Denervated Skeletal Muscles - Brunelli's CNS-PNS Paradigm.

The restoration of voluntary muscle activity in posttraumatic paraplegia in both animal experiments ...

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