Stem Cell Research

Leveraging Cancer Therapy Peptide Data: A Case Study on Machine Learning Application in Accelerating Cancer Research.

This study leverages the DCTPep database, a comprehensive repository of cancer therapy peptides, to ...

The global evolution and impact of systems biology and artificial intelligence in stem cell research and therapeutics development: a scoping review.

Advanced bioinformatics analysis, such as systems biology (SysBio) and artificial intelligence (AI) ...

[HIPPOCRATES AND LANGUAGE MODELS - PRIMUM NON NOCERE - FIRST, DO NO HARM].

For millennia, the ethos of "First, Do No Harm", attributed to Hippocrates, has been a cornerstone o...

Leveraging machine learning for preoperative prediction of supramaximal ablation in laser interstitial thermal therapy for brain tumors.

OBJECTIVE: Maximizing safe resection in neuro-oncology has become paramount to improving patient sur...

[Design and practice of integrating artificial intelligence into the teaching of "Synthetic Biology" under the background of discipline crossing].

In recent years, artificial intelligence has been employed to empower synthetic biology, demonstrati...

Tailoring nonsurgical therapy for elderly patients with head and neck squamous cell carcinoma: A deep learning-based approach.

To assess deep learning models for personalized chemotherapy selection and quantify the impact of ba...

Recent advances in artificial intelligent strategies for tissue engineering and regenerative medicine.

BACKGROUND: Tissue engineering and regenerative medicine (TERM) aim to repair or replace damaged or ...

Large language models and generative AI in telehealth: a responsible use lens.

OBJECTIVE: This scoping review aims to assess the current research landscape of the application and ...

Optimizing ICU Care: Machine Learning and PCA for Early Prediction of Renal Replacement Therapy Requirement.

Forecasting the need for Renal Replacement Therapy (RRT) in intensive care units (ICUs) at an early ...

Proposing an AI Passport as a Mitigating Action of Risk Associated to Artificial Intelligence in Healthcare.

The integration of Artificial Intelligence (AI) in healthcare signifies a substantial shift, offerin...

Temporal Characterization and Visualization of Revolving Therapy-Events in Lung Cancer Patients.

This paper presents a comprehensive workflow for integrating revolving events into the transitive se...

A Neural Network-Based Scoring System for Predicting Prognosis and Therapy in Breast Cancer.

Breast cancer is a prevalent malignancy affecting women worldwide. Currently, there are no precise m...

Insights Into the Patient Experience of Hormone Therapy for Early Breast Cancer Treatment Using Patient Forum Discussions and Natural Language Processing.

PURPOSE: Understanding the real-world experience of patients with early breast cancer (eBC) is imper...

In Reply to the Letter to the Editor Regarding: "Medical Ethics and Artificial Intelligence in Neurosurgery-How Should We Prepare?".

Letter to the Editor Regarding "Medical Ethics and Artificial Intelligence in Neurosurgery-How Should We Prepare?".

[Application of the blastomere count variations "skip value" in the embryo AI assessment].

To explore the correlation between blastomere count variations "skip value" which extracted from by...

The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model.

Gene expression is temporally and spatially regulated by the interaction of transcription factors (T...

Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions.

Machine- and patient-specific quality assurance (QA) is essential to ensure the safety and accuracy ...

Effects of virtual reality-based robot therapy combined with task-oriented therapy on upper limb function and cerebral cortex activation in patients with stroke.

BACKGROUND: This study aimed to investigate the effects of virtual reality (VR)-based robot therapy ...

Research integrity in the era of artificial intelligence: Challenges and responses.

The application of artificial intelligence (AI) technologies in scientific research has significantl...

The Effects of Robotic Exoskeleton Gait Training on Improving Walking Adaptability in Persons with MS.

The goal of the present pilot investigation is to examine the effects of 8 weeks of supervised, over...