Leukemia

Integration of RNA-seq and scRNA-seq to investigate the role of cell cycle-related biomarkers in sepsis.

BACKGROUND: Sepsis is a life-threatening organ dysfunction arising from a dysregulated host response to infection. Cell-cycle disturbance is increasingly recognized as a driver of sepsis-associated immune dysfunction. This study aimed to identify cell cycle-associated diagnostic biomarkers and clarify their roles in sepsis. METHODS: Transcriptomic profiles from the Gene Expression Omnibus (GEO) da...

A clinical-radiomics model based on MRI sub-regions of gluteus maximus for recurrence prediction in high-grade serous ovarian cancer.

PURPOSE: To evaluate the predictive value of MRI sub-regional radiomics of the gluteus maximus for recurrence in high-grade serous ovarian cancer (HGSOC) and compare its performance with conventional radiomics and deep learning (DL) models. METHODS: A multi-center retrospective cohort of 531 patients with HGSOC was analyzed. A U-Net architecture was utilized to automatically segment the region of ...

Using Mobi-L RYMO to target spasticity in patient with chronic stroke: A case series study.

BACKGROUND/OBJECTIVES: Stroke represents one of the main causes of permanent disability, with persistent upper limb motor deficits in 50% of patients;...

Machine learning-assisted prediction of 5-year mortality in chronic kidney disease: the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD).

BACKGROUND: Mortality prediction models for patients with non-dialysis chronic kidney disease (CKD) remain limited despite their clinical importance. ...

Supporting leukemia patients when the real-world gets in the way: improving adherence to oral treatment.

An integrated deep learning and molecular dynamics pipeline for the discovery of novel CDK8 inhibitors against acute myeloid leukaemia.

Cyclin-dependent kinase 8 (CDK8) has emerged as a promising therapeutic target for acute myeloid leukaemia (AML). We developed an integrated computati...

Associations Between Deep Learning-Derived Infrapatellar Fat Pad Volume on MRI with Cartilage Thickness and Imaging Features of Knee Osteoarthritis: Data from the Osteoarthritis Initiative.

OBJECTIVE: To investigate associations between infrapatellar fat pad volume (IPFPVol) measured on MRI with imaging features of knee osteoarthritis. DE...

Automated CT Volumetry of Peripancreatic Collections for Risk Stratification in Acute Pancreatitis: A Multicenter Retrospective Study.

RATIONALE AND OBJECTIVES: Extrapancreatic necrosis volume is an established prognostic marker in acute necrotizing pancreatitis, yet early diagnosis r...

CAMI-DM: Development and validation of a multi-algorithm model for in-hospital mortality risk prediction in diabetic patients with acute myocardial infarction - The China acute myocardial infarction registry.

Patients with diabetes constitute a substantial proportion of those with acute myocardial infarction (AMI) and exhibit distinct pathophysiological cha...

A Contrastive Framework for Modeling Brain Heterogeneity in Precision Mental Health.

Precision mental health aims to enable personalized care for mental disorders via the identification of brain-behavior associations at the individual ...

An integrated automated pipeline for cloning, transient expression, and purification augmenting the plant cell pack platform for biopharmaceutical screening.

Biopharmaceuticals, particularly monoclonal antibodies (mAbs), are a rapidly expanding class of therapeutics and have benefitted from high-throughput ...

Radiomics Model Predicts Efficacy of First-Line CDK4/6 Inhibitor Combined with Endocrine Therapy in HR+/HER2- Advanced Breast Cancer.

INTRODUCTION: The combination of CDK4/6 inhibitors and endocrine therapy is the first-line standard regimen for advanced HR⁺/HER₂⁻ breast cancer. Howe...

Predictive Value of Endoscopy in the Identification of Complete Response After Neoadjuvant Therapy for Rectal Adenocarcinoma.

BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify complete response after neoadjuvant therapy in loca...

Does Maximum Troponin T Value Correlate With Acute Coronary Occlusion Among Patients Treated as NSTEMI?

BACKGROUND: Occlusion myocardial infarction (OMI) is increasingly recognized among NSTEMI patients, yet current diagnostic paradigms may fail to detec...

Integrative Genomic Analysis Reveals Molecular and Clinical Disparities between Bladder and Upper Tract Urothelial Carcinoma in K-MASTER Program.

PURPOSE: The clinical outcome of urothelial carcinoma presents significant variability, reflecting its molecular composition, epidemiologic attributes...

Hair neuroendocrine signatures of acute stress reaction symptoms: Cross-national validation and latent profile heterogeneity.

The Acute Stress Reaction (ASR) involves transient emotional, somatic, cognitive, and behavioral symptoms after stressful exposure. Acute stress engag...

Automated B-cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel-based classification model.

Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time-consuming and operator-dependent, especially when PC...

Peripheral blood profiles reflecting progenitor lineage balance are associated with molecular response in chronic myeloid leukemia.

Early achievement of deep remission improves patients' outcome in chronic myeloid leukemia (CML) treatment, highlighting the need for predictive indic...

Cancer drug response and resistance: molecular mechanisms and combating strategies.

Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a fo...

A Dynamic Prognostic and Adaptive Treatment Framework for Advanced Biliary Tract Cancer.

BACKGROUND & AIMS: First-line immuno-chemotherapy is standard for advanced biliary tract cancer (BTC), but outcomes vary substantially, necessitating ...