Lymphoma

Detecting and classifying the mechanics of cancer and non-cancer cells by machine learning algorithm.

The global burden of cancer has increased in recent years, posing a major public health challenge. G...

Non-Invasive Bedside Approaches for Assessing Microvascular Dysfunction.

Microvascular dysfunction is implicated in a range of acute and chronic conditions, ranging from car...

ChatGPT-4o Compared With Human Researchers in Writing Plain-Language Summaries for Cochrane Reviews: A Blinded, Randomized Non-Inferiority Controlled Trial.

INTRODUCTION: Plain language summaries in Cochrane reviews are designed to present key information i...

Recent advances in deep learning for lymphoma segmentation: Clinical applications and challenges.

Lymphoma is a prevalent malignant tumor within the hematological system, posing significant challeng...

Optimization of concrete with human hair using experimental study and artificial neural network via response surface methodology and ANOVA.

The increasing demand for sustainable construction materials has prompted the investigation of non-b...

Methinks AI software for identifying large vessel occlusion in non-contrast head CT: A pilot retrospective study in American population.

BackgroundNon-contrast computed tomography (NCCT) is the first image for stroke assessment, but its ...

Integrating Non-Targeted Mass Spectrometry and Machine Learning for the Classification of Organic and Conventionally Grown Agricultural Products: A Case Study on Tomatoes.

Rising demand for organic agricultural products has made the verification of their authenticity a cr...

Perceived social support in the daily life of people with Parkinson's disease: a distinct role and potential classifier.

Motor outcomes in Parkinson's disease (PD) have long been the primary diagnostic criteria and treatm...

Association of initial core volume on non-contrast CT using a deep learning algorithm with clinical outcomes in acute ischemic stroke: a potential tool for selection and prognosis?

BACKGROUND: In an extended time window, contrast-based neuroimaging is valuable for treatment select...

Non-invasive meningitis screening in neonates and infants: multicentre international study.

BACKGROUND AND OBJECTIVES: Meningitis diagnosis requires a lumbar puncture (LP) to obtain cerebrospi...

Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.

The reproducibility and robustness of many directed differentiation protocols from human induced plu...

A 23-gene multi-omics signature predicts prognosis and treatment response in non-small cell lung cancer.

Embryo metabolism as a novel non-invasive preimplantation test: nutrients turn over and metabolomic analysis of human spent embryo culture media (SECM).

BACKGROUND: Single embryo transfer is globally recommended during IVF treatments. Hence, there is a ...

Prediction of different physiological conditions of riverine buffaloes () based on their vocal cues through machine learning algorithms and a conventional statistical model.

To understand the requirements of animals their calls can be analysed. This potentially enables spec...

Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.

Closed-loop brain-computer interfaces can be used to bridge, modulate, or repair damaged connections...

Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning.

This study employed state-of-the-art machine learning to evaluate the mortality effects of alpha-emi...

Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs.

Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal c...

A novel hybrid convolutional and transformer network for lymphoma classification.

Lymphoma poses a critical health challenge worldwide, demanding computer aided solutions towards dia...

Comparison of Expert Vocabulary Usage Patterns between Mental Health and Non-Mental Health Clinicians When Diagnosing Pediatric Anxiety Disorders.

OBJECTIVE: To compare the utilization patterns of expert vocabulary (EVo) in diagnosing pediatric an...

Artificial Intelligence for Tumor [F]FDG PET Imaging: Advancements and Future Trends - Part II.

The integration of artificial intelligence (AI) into [F]FDG PET/CT imaging continues to expand, offe...

Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

BACKGROUND: While the TNM staging system provides valuable insights into the extent of disease, pred...