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Stem Cell Research

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

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Patentability challenges associated with emerging pharmaceutical technologies.

According to the recent patent filing trends, it has been observed that certain pharmaceutical techn...

Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease.

Modeling human diseases as networks simplify complex multi-cellular processes, helps understand patt...

Ethics of AI in Pathology: Current Paradigms and Emerging Issues.

Deep learning has rapidly advanced artificial intelligence (AI) and algorithmic decision-making (ADM...

Bone mineral density response prediction following osteoporosis treatment using machine learning to aid personalized therapy.

Osteoporosis is a global health problem for ageing populations. The goals of osteoporosis treatment ...

Evaluation of Iron Status by Reticulocyte Haemoglobin Content (Chr) in Chronic Kidney Disease Patients on Haemodialysis and Erythropoietin.

Diagnosing iron deficiency with currently available tests is difficult in patients with chronic kidn...

Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology.

There are currently 85,000 chemicals registered with the Environmental Protection Agency (EPA) under...

Using Artificial Intelligence for High-Volume Identification of Silicosis and Tuberculosis: A Bio-Ethics Approach.

Although Artificial Intelligence (AI) is being increasingly applied, considerable distrust about int...

A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application.

In low-level laser therapy, providing an optimal dosage and proposing a proper diagnosis before derm...

Rapid and sensitive mycoplasma detection system using image-based deep learning.

A major concern in the clinical application of cell therapy is the manufacturing cost of cell produc...

AI-based monitoring of retinal fluid in disease activity and under therapy.

Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by high-r...

Technical Note: Dose prediction for radiation therapy using feature-based losses and One Cycle Learning.

PURPOSE: To present the technical details of the runner-up model in the open knowledge-based plannin...

Analyzing the regional economic changes in a high-tech industrial development zone using machine learning algorithms.

The aims are to improve the efficiency in analyzing the regional economic changes in China's high-te...

Robot assisted laser-interstitial thermal therapy with iSYS1 and Visualase: how I do it.

BACKGROUND: Laser-interstitial thermal therapy (LITT) is an ablative treatment based on a surgically...

Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation.

With the continuous development of artificial intelligence technology, "brain-computer interfaces" a...

Predictive analytics for step-up therapy: Supervised or semi-supervised learning?

BACKGROUND: Step-up therapy is a patient management approach that aims to balance the efficacy, cost...

Human breast milk-based nutritherapy: A blueprint for pediatric healthcare.

Human Breast Milk (HBM) is a storehouse of micronutrients, macronutrients, immune factors, microbiot...

The future of basic science in orthopaedics and traumatology: Cassandra or Prometheus?

Orthopaedic and trauma research is a gateway to better health and mobility, reflecting the ever-incr...

Deep learning-based framework for cardiac function assessment in embryonic zebrafish from heart beating videos.

Zebrafish is a powerful and widely-used model system for a host of biological investigations, includ...

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