Leukemia

Empowering researchers and healthcare professionals in academic publishing: key insights and practical lessons from the British Society of Antimicrobial Chemotherapy (BSAC) workshop 2025.

The British Society of Antimicrobial Chemotherapy (BSAC) Academic Publishing Workshop, held at the Birmingham City Event Centre in the UK from 19 to 20 March 2025, provided practical guidance for early-career researchers and healthcare professionals seeking to understand and actively engage with the academic publishing process. This perspective extends the workshop's expert insights to those who w...

Early detection of gastric cancer with the assistance of cell-free DNA fragmentomics.

BACKGROUND: Gastric cancer remains one of the most prevalent malignancies globally. As early-stage gastric cancer is typically asymptomatic or presents with non-specific symptoms, most patients are diagnosed at advanced stages, leading to poor survival outcomes. Effective early detection strategies are important for reducing gastric cancer-related mortality. In this study, we developed a non-invas...

Survival prediction of colorectal cancer using 101 machine learning methods based on immune-related genes: A machine learning study.

Colorectal cancer (CRC) is characterized by high incidence and mortality rates. Early identification of high-risk CRC patients and timely intervention...

Development and Internal Evaluation of EAST-BMS (East Asian Survival Tool for Bone Metastasis Surgery): A Multinational Machine-learning Survival Prediction Model for Patients Undergoing Surgery for Nonspinal Bone Metastasis in East Asia.

BACKGROUND: Patients undergoing surgery for bone metastases typically have advanced disease, and postoperative survival varies substantially. Accurate...

Microbiome in Gastrointestinal Tumors: Implications in Oncogenesis and Therapeutic Response : Microbiome in Gastrointestinal Tumors.

PURPOSE OF REVIEW: To provide an updated overview of the role of the human microbiome in the initiation, progression, and therapeutic response of gast...

Deep Learning-Based Prediction of Pathogenicity for ABL1 Protein Variants Using Sequence Representation.

The ABL1 gene encodes a non-receptor tyrosine kinase implicated in leukemia and other genetic disorders. This study presents a deep learning-based app...

Real-World Application of a Machine Learning Pipeline for Overall Survival in Chronic Lymphocytic Leukemia.

We developed a machine learning model and validated it using a large-scale, real-world cohort to predict overall survival in patients with Chronic Lym...

Enhancing Explainable AI Stability with Realistic Synthetic Data for Cardiovascular Risk Prediction.

Data-driven such as machine learning models in rare disease research faces a significant challenge: scarce data cause performance degradation and unst...

Single-cell N4-acetylcytidine regulatory landscape identifies ARIH1 as a ferroptosis-suppressive oncogenic driver in lung adenocarcinoma.

BACKGROUND: N4-acetylcytidine (ac4C) is an emerging post-transcriptional RNA modification implicated in cancer biology, yet its cellular distribution,...

Integrating network pharmacology, molecular docking, machine learning, and experimental validation: puerarin improves sepsis-induced acute kidney injury via the Sirt1-Nrf2-HO-1 pathway.

Acute kidney injury (AKI) associated with sepsis has a high clinical mortality rate, and there is a lack of effective therapeutic targets; uncontrolle...

AI detection of peri-implantitis on 2D radiographs: a systematic review and diagnostic accuracy assessment.

Peri-implantitis is a major biological complication that compromises the longevity of dental implants, and accurate radiographic assessment is essenti...

Machine Learning-Based Prediction of Central Line-Associated Bloodstream Infection in Children with Acute Leukemia.

Central line-associated bloodstream infection (CLABSI) is a frequent and severe complication in children undergoing treatment for acute leukemia, subs...

Tumor-preserving Deformable Registration of Longitudinal Breast DCE MRI during Neoadjuvant Chemotherapy.

Purpose To develop a deep learning-based deformable registration method for breast dynamic contrast-enhanced (DCE) MRI that preserves tumor regions wh...

Interpretable machine learning models for bladder cancer overall survival prediction development and external validation via SEER database and Chinese cohort analysis.

OBJECTIVE: We developed interpretable machine learning(ML) models to predict overall survival in bladder cancer patients. This approach aims to improv...

Sparse autoencoders reveal interpretable cell-type programs in single-cell foundation model representations.

OBJECTIVE: Single-cell foundation models such as scGPT learn rich representations of cellular identity, yet the biological programs encoded in their i...

Scalable process technologies for human pluripotent stem cells (hPSCs) expansion and differentiation.

Human pluripotent stem cells (hPSCs) can serve as an unlimited, renewable "raw material" for essentially any therapeutic cell product, placing them at...

Artificial intelligence classification of spatial CD8 + T-cell distribution on computed tomography in oropharyngeal cancer.

CD8 + T-cell presence and distribution in oropharyngeal cancer (OPC) reflects specific immune phenotypes and are linked to prognosis. Image processing...

ProSSF: integrating sequence, structure, and gene ontology for prediction of protein stability, interaction, and function.

Protein sequences encode rich structural and functional information that governs how organisms respond to genetic variation, environmental challenge, ...

A multi-agent system for automating scientific discovery.

Scientific discovery is driven by the iterative process of observation, hypothesis generation, experimentation, and data analysis. Despite recent adva...

An interpretable machine learning model integrating [18F]FDG PET/CT radiomics and clinical features for predicting perforation following chemotherapy in gastrointestinal lymphoma: a multicenter study.

BACKGROUND: Perforation following chemotherapy in gastrointestinal lymphoma (PFCGL) is a rare but severe and life-threatening complication. Early pre-...