Stem Cell Research

Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data.

BACKGROUND: Cell-cell communication in a tumor microenvironment is vital to tumorigenesis, tumor pro...

Response predictor for pigment reduction after one session of photo-based therapy using convolutional neural network: A proof of concept study.

BACKGROUND: Identifying treatment responders after a single session of photo-based procedure for hyp...

DeepSea is an efficient deep-learning model for single-cell segmentation and tracking in time-lapse microscopy.

Time-lapse microscopy is the only method that can directly capture the dynamics and heterogeneity of...

A Laser-Driven Microrobot for Thermal Stimulation of Single Cells.

Here, the study presents a thermally activated cell-signal imaging (TACSI) microrobot, capable of ph...

Clustering trunk movements of children and adolescents with neurological gait disorders undergoing robot-assisted gait therapy: the functional ability determines if actuated pelvis movements are clinically useful.

INTRODUCTION: Robot-assisted gait therapy is frequently used for gait therapy in children and adoles...

East-West Dialogues on the Ethics of Sex Robots.

The purpose of this essay is to review and evaluate chapters in Fan and Cherry's Sex Robots: Social ...

The complex ethics of applying ChatGPT and language model artificial intelligence in dermatology.

Reflections on Putting AI Ethics into Practice: How Three AI Ethics Approaches Conceptualize Theory and Practice.

Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too princ...

AI and machine learning ethics, law, diversity, and global impact.

Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise for p...

Artificial intelligence: is it more accurate than endodontists in root canal therapy?

DATA SOURCES: The following databases were electronically searched (up to 20 March 2022): PubMed, Sc...

Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy?

Academic integrity in both higher education and scientific writing has been challenged by developmen...

Society for birth defects research and prevention's multidisciplinary research needs workshop 2022: A call to action.

The Society for Birth Defects Research and Prevention (BDRP) strives to understand and protect again...

Self-Propelled Janus Nanocatalytic Robots Guided by Magnetic Resonance Imaging for Enhanced Tumor Penetration and Therapy.

Biomedical micro/nanorobots as active delivery systems with the features of self-propulsion and cont...

Automatic method based on deep learning to identify and account Rhipicephalus microplus larval hatching.

Reports of Rhipicephalus microplus resistant populations worldwide have increased extensively, makin...

PPSW-SHAP: Towards Interpretable Cell Classification Using Tree-Based SHAP Image Decomposition and Restoration for High-Throughput Bright-Field Imaging.

Advancements in high-throughput microscopy imaging have transformed cell analytics, enabling functio...

Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy.

Deep learning (DL) models for radiation therapy (RT) image segmentation require accurately annotated...

Deep learning-based protoacoustic signal denoising for proton range verification.

Proton therapy is a type of radiation therapy that can provide better dose distribution compared to ...

A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.

Micro-computed tomography (µCT)-based imaging plays a key role in monitoring disease progression and...

EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways.

Evolutionarily conserved signaling pathways are essential for early embryogenesis, and reducing or a...

Neural network and spline-based regression for the prediction of salivary hypofunction in patients undergoing radiation therapy.

BACKGROUND: This study leverages a large retrospective cohort of head and neck cancer patients in or...

Computer Vision Based on a Modular Neural Network for Automatic Assessment of Physical Therapy Rehabilitation Activities.

Physical rehabilitation techniques during the treatment of clinical pathology are one of the most ch...