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Stem Cell Research

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

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Winter is over: The use of Artificial Intelligence to individualise radiation therapy for breast cancer.

Artificial intelligence demonstrated its value for automated contouring of organs at risk and target...

Ethical Considerations in the Advent of Artificial Intelligence in Otolaryngology.

Artificial intelligence (AI) is quickly expanding within the sphere of health care, offering the pot...

Deep segmentation networks predict survival of non-small cell lung cancer.

Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...

Exploring the utility of robots in exposure studies.

Obtaining valid, reliable quantitative exposure data can be a significant challenge for industrial h...

Prediction of visual outcomes by an artificial neural network following intravitreal injection and laser therapy for retinopathy of prematurity.

AIMS: To construct a program to predict the visual acuity (VA), best corrected VA (BCVA) and spheric...

Artificial Moral Agents: A Survey of the Current Status.

One of the objectives in the field of artificial intelligence for some decades has been the developm...

Multifunctional Nanorobot System for Active Therapeutic Delivery and Synergistic Chemo-photothermal Therapy.

Nanorobots are safe and exhibit powerful functionalities, including delivery, therapy, and diagnosis...

Multivariate modeling of engineered nanomaterial features associated with developmental toxicity.

Despite the increasing prevalence of engineered nanomaterials (ENMs) in consumer products, their tox...

Trans-Differentiation of Human Dental Pulp Stem Cells Into Cholinergic-Like Neurons Via Nerve Growth Factor.

INTRODUCTION: Cell therapy has been widely considered as a therapeutic approach for neurodegenerativ...

Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial.

BACKGROUND: The literature shows the effectiveness of music listening, but which factors and what ty...

Antibiotic therapy in patients with high prostate-specific antigen: Is it worth considering? A systematic review.

: To address the question of whether antibiotic therapy can obviate the need for prostate biopsy (PB...

Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit...

Deep learning enables automated volumetric assessments of cardiac function in zebrafish.

Although the zebrafish embryo is a powerful animal model of human heart failure, the methods routine...

Recommendations and future directions for supervised machine learning in psychiatry.

Machine learning methods hold promise for personalized care in psychiatry, demonstrating the potenti...

Preparing for Artificial Intelligence: Systems-Level Implications for the Medical Imaging and Radiation Therapy Professions.

Innovations in artificial intelligence (AI) are driving a new industrial revolution, and as a result...

[Basis and perspectives of artificial intelligence in radiation therapy].

Artificial intelligence is a highly polysemic term. In computer science, with the objective of being...

[Clinical intelligence and artificial intelligence: a question of nuance].

Current artificial intelligence (AI) in medicine has high performance, particularly in diagnostic an...

Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network.

INTRODUCTION: The first line of treatment for people with Diabetes mellitus is metformin. However, o...

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