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Stem Cell Research

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

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Showing 64-84 of 4,986 articles
An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy.

B-ultrasound results are widely used in early pregnancy loss (EPL) prediction, but there are inevita...

Transcriptional modulation unique to vulnerable motor neurons predicts ALS across species and SOD1 mutations.

Amyotrophic lateral sclerosis (ALS) is characterized by the progressive loss of motor neurons (MNs) ...

Innovative organ-on-a-chip platforms for exploring tumorigenesis and therapy in head and neck cancer.

BACKGROUND: Head and neck cancer (HNC) presents significant research challenges due to the complexit...

Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000-2019).

OBJECTIVE: Ethiopia, the second most populous country in Africa, faces significant demographic trans...

Optimizing breast cancer therapy: chemoressitance and machine learning for precision prediction.

BACKGROUND: Validate a novel in vitro resistance platform for breast cancer (BC) by assessing resist...

Predictive modeling for step II therapy response in periodontitis - model development and validation.

Steps I and II periodontal therapy is the first-line treatment for periodontal disease, but has vary...

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failur...

Bringing Artificial Intelligence (AI) into Health Information Seeking Behavior: A Study of AI and Information Seeking Research.

This paper explores the impact of artificial intelligence (AI) on information seeking behavior resea...

Combating Antimicrobial Resistance: Role of Key Stakeholders with Focus on the Pharmaceutical Sector.

Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biologi...

Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025.

BACKGROUND: Adherence with Anti-Retroviral Therapy (ART) reduces viral load, as well as HIV-related ...

Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy.

Breast cancer continues to be a leading cause of death among women in the world. The prediction of s...

Deep learning to assess erythritol in zebrafish development, circadian rhythm, and cardiovascular disease risk.

Erythritol is one of the most widely used artificial sweeteners, yet the potential risks remain a su...

Identification of a novel ferroptosis-induced immunogenic cell death related signature based on a machine learning framework in colorectal cancer.

BACKGROUND: Ferroptosis and immunogenic cell death play vital roles in colorectal cancer (CRC). The ...

Performance of ChatGPT on optometry and vision science exam questions.

The rapid proliferation of Large Language Models (LLM) tools, such as ChatGPT developed by OpenAI, p...

Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study.

PURPOSE: This study aimed to develop an early predictive model for neoadjuvant therapy (NAT) respons...

Insights into the Diagnosis, Treatment, and Management of Prion Diseases.

The normal cellular prion protein (PrPC) can misfold into an infectious and pathogenic form (PrPSc) ...

Metabolic alterations driven by LDHA in CD8 + T cells promote immune evasion and therapy resistance in NSCLC.

Non-small cell lung cancer (NSCLC) is a leading cause of cancer-related deaths worldwide. Despite ad...

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