Leukemia

Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia.

Despite the critical role of DNA methylation, clinical implementations harnessing its promise have n...

Plasmonic Fiber Optic Sensing Platform for Point-of-Care Pharmacokinetic Monitoring of Platinum Chemotherapeutics: Toward Ultratrace Multi-omics Precision Chemotherapy Management.

Precision chemotherapy management requires efficient and ultrasensitive dynamic monitoring of drug p...

Sensitive Detection and Identification Method of Erythrocyte-like Cells upon Doxorubicin Induced Differentiation with Vibrational Techniques.

Altered differentiation of blood cell precursors and their clonal expansion occurs in various types ...

'For AI to change how economies work, it has to represent all of us'.

Gut microbiota and SCFAs improve the treatment efficacy of chemotherapy and immunotherapy in NSCLC.

The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on t...

Verification is All You Need: Prompting Large Language Models for Zero-Shot Clinical Coding.

Clinical coding translates medical information from Electronic Health Records (EHRs) into structured...

Predicting Mechanosensitive T Cell Expansion from Cell Spreading.

Variability in T cell performance presents a major challenge to adoptive cellular immunotherapy (ACT...

Exploring the social life of urban spaces through AI.

We analyze changes in pedestrian behavior over a 30-y period in four urban public spaces located in ...

A multi-omic single-cell landscape reveals transcription and epigenetic regulatory features of t(8;21) AML.

BACKGROUND: Comprehensive analysis of single-cell transcriptome and chromatin accessibility will con...

Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC.

Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy ...

Towards Clinically Actionable Machine Learning and Artificial Intelligence Algorithms in Acute Leukemia: A Systematic Narrative Review.

INTRODUCTION: Acute myeloid leukemia (AML) is a heterogenous hematologic malignancy that maintains h...

CT-based intratumoral and peritumoral radiomics to predict the treatment response to hepatic arterial infusion chemotherapy plus lenvatinib and PD-1 in high-risk hepatocellular carcinoma cases: a multi-center study.

BACKGROUND: Noninvasive and precise tools for treatment response estimation in patients with high-ri...

Advanced feature engineering in Acute:Chronic Workload Ratio (ACWR) calculation for injury forecasting in elite soccer.

Controlling training monotony and monitoring external workload using the Acute:Chronic Workload Rati...

Sub-regional radiomics combining multichannel 2-dimensional or 3-dimensional deep learning for predicting neoadjuvant chemo-immunotherapy response in esophageal squamous cell carcinoma: a multicenter study.

This study aimed to develop and compare fusion models combining sub-regional radiomics with multicha...

Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis.

BACKGROUND: The rise of federated learning (FL) as a novel privacy-preserving technology offers the ...

A novel hybrid convolutional and transformer network for lymphoma classification.

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

Sub-nanosecond all-optically reconfigurable photonics in optical fibres.

Reconfigurable photonic systems provide a versatile platform for dynamic, on-demand control and swit...

Advancing Intelligent Neuromorphic Computing: Recent Progress in All-Optical-Controlled Artificial Synaptic Devices.

The rapid development of artificial intelligence and the increasing volume of generated data have he...

Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is a major cause of cancer-related mortality globally. Proliferating cell...

Distribution patterns of N6-methyladenine in the rye genome.

N6-methyladenine (6 mA) has emerged as a potential epigenetic marker in eukaryotic genomes, yet its ...

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...