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Stem Cell Research

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

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Deep learning applications in telerehabilitation speech therapy scenarios.

Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Wit...

Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA.

Recent technological advancements have led to the emergence of supportive robotics to help children ...

Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients.

BACKGROUND: Surgical mechanical ventricular assistance and cardiac replacement therapies, although l...

Development of Lymphopenia during Therapy with Immune Checkpoint Inhibitors Is Associated with Poor Outcome in Metastatic Cutaneous Melanoma.

Predictive markers for immune checkpoint inhibitor (ICI) therapy are needed. Thus, baseline blood co...

Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management.

Studies on the ethics of automating clinical or research decision making using artificial intelligen...

Effects of robot-assisted therapy on upper limb and cognitive function in patients with stroke: study protocol of a randomized controlled study.

BACKGROUND: Impairments in upper limb motor function and cognitive ability are major health problems...

Multidisciplinary biophotonics, open science, and … plug & pray deep learning?

Due to its great creative potential for innovation and scientific discovery, inter- and multidiscipl...

Can the combination of time-lapse parameters and clinical features predict embryonic ploidy status or implantation?

RESEARCH QUESTION: Can models based on artificial intelligence predict embryonic ploidy status or im...

Legal concerns in health-related artificial intelligence: a scoping review protocol.

BACKGROUND: Medical innovations offer tremendous hope. Yet, similar innovations in governance (law, ...

Measuring ethical behavior with AI and natural language processing to assess business success.

Everybody claims to be ethical. However, there is a huge difference between declaring ethical behavi...

An examination of machine learning to map non-preference based patient reported outcome measures to health state utility values.

Non-preference-based patient-reported outcome measures (PROMs) are popular in health outcomes resear...

Application of Neural Network Algorithm in Medical Artificial Intelligence Product Development.

With the continuous deepening of artificial intelligence (AI) in the medical field, the social risks...

Machine learning models to predict the delivered positions of Elekta multileaf collimator leaves for volumetric modulated arc therapy.

PURPOSE: Accurate positioning of multileaf collimator (MLC) leaves during volumetric modulated arc t...

CD147-specific chimeric antigen receptor T cells effectively inhibit T cell acute lymphoblastic leukemia.

T cell acute lymphoblastic leukemia (T-ALL) is invasive and heterogeneous, and existing therapies ar...

Open-source personal pipetting robots with live-cell incubation and microscopy compatibility.

Liquid handling robots have the potential to automate many procedures in life sciences. However, the...

Dual-energy CT based mass density and relative stopping power estimation for proton therapy using physics-informed deep learning.

Proton therapy requires accurate dose calculation for treatment planning to ensure the conformal dos...

Addressing neuroethics issues in practice: Lessons learnt by tech companies in AI ethics.

Neurotechnologies raise ethical concerns overlapping with those of other technologies, like artifici...

Cell cycle gene regulation dynamics revealed by RNA velocity and deep-learning.

Despite the fact that the cell cycle is a fundamental process of life, a detailed quantitative under...

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