Leukemia

MicroRNA profiles as diagnostic tools in pediatric acute lymphoblastic leukemia.

Acute lymphoblastic leukemia (ALL) represents the most common malignancy diagnosed in children, accounting for approximately 25-30% of all pediatric cancers. Despite remarkable improvements in survival rates over recent decades, with cure rates exceeding 90% in developed countries, the diagnosis and monitoring of ALL continue to rely on invasive bone marrow aspiration and morphological assessment....

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer-Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy.

Paclitaxel (PTX) chemotherapy is constrained by an "immunomodulatory paradox," where antitumor Type I Interferon (IFN-I) activation is coupled with detrimental pro-inflammatory cascades. To address this challenge, we developed Deep Learning for Innate Immunity Modulatory Potential (DLINP), a Transformer-based framework designed to identify precision immunomodulators that uncouple IFN-I induction f...

An ICD gene set-derived immune contexture signature for colorectal cancer prognosis: integrated single-cell and bulk transcriptomic analysis with external validation.

Immunogenic cell death (ICD) links tumor cell demise with antitumor immunity, but the transcriptional features associated with ICD gene expression pat...

MRI-Based Deep Learning Guides Multi-Omics Discovery of NBPF4 as a Therapeutic Target for Breast Cancer Lymph Node Metastasis.

Deep learning models are increasingly used to analyze medical images, but their "black box" nature makes it hard to understand the underlying biology ...

Identification of a novel small-molecule modulator targeting SNX10 to inhibit osteoclastic bone resorption.

Current antiresorptive therapies reduce bone loss by eliminating osteoclasts or inhibiting their formation. However, these approaches could disrupt os...

Pre-pandemic preventive healthcare engagement and all-cause excess mortality during COVID-19: a county-level ecological study in the United States.

OBJECTIVE: Community resilience during COVID-19 has been linked to social conditions, public-health capacity, and acute-care resources, but the contri...

The Lymph Node Ratio as a Predictive Biomarker for Individualized Benefit from Adjuvant Chemotherapy in Gastric Cancer: A Retrospective Cohort and Causal Machine Learning Study.

BACKGROUND: Optimizing adjuvant chemotherapy (AC) for gastric cancer (GC) remains challenging due to patient heterogeneity. While the lymph node ratio...

Neoantigen in cancer immunotherapy: mechanism, therapeutic strategies and future perspectives.

Neoantigens are tumor-specific antigens resulting from genetic, transcriptomic, and proteomic changes, making them a promising avenue for personalized...

Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer.

BACKGROUND: Ovarian cancer remains the deadliest gynecological malignancy, with neoadjuvant chemotherapy (NACT) often leaving residual fibroblast-enri...

Machine Learning-Guided Personalized Immunochemotherapy Strategies in Intrahepatic Cholangiocarcinoma.

BACKGROUND & AIMS: Immunochemotherapy (IO-chemo) has become standard care for patients with unresectable intrahepatic cholangiocarcinoma (iCCA), but b...

Evaluation of Differential Diagnosis of Odontogenic Lesions in Cone Beam Computed Tomography Images Using Radiomics-Based Machine Learning.

OBJECTIVE: This study aimed to evaluate the structural characteristics of mandibular alveolar bone in patients with Type 1 diabetes mellitus (T1DM), T...

Patient Stratification for Improving Acute Chest Pain Management and Mitigating Emergency Department Crowding: Machine Learning Model Development and Validation.

BACKGROUND: Acute chest pain (ACP) is one of the most common chief complaints in the emergency department (ED), accounting for approximately 8% of all...

A deep learning-derived risk score model from digital pathology to forecast nivolumab outcomes in gastric carcinoma.

BACKGROUND: The PD-L1 combined positive score (CPS) is a biomarker predicting responses in gastric cancer (GC) immunotherapy. OBJECTIVES: We aimed to ...

Single-photon emission computed tomography/computed tomography-based radiomics of bone metastases for predicting epidermal growth factor receptor mutation status and targeted therapy efficacy in non-small-cell lung cancer.

BACKGROUND: This study aimed to develop a single-photon emission computed tomography/computed tomography (SPECT/CT)-based radiomics model using bone m...

AI-derived Histopathological Signatures Are Associated With Response to Mepolizumab in Chronic Rhinosinusitis With Nasal Polyps.

BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous inflammatory disease with variable response to biologic therapy. Tissue...

Deep mapping of structural perturbations to energetics enables precise TCR design.

Affinity optimization and cross-reactivity profiling are pivotal for T cell receptor (TCR) engineering but remain hindered by repertoire diversity and...

[Paeoniflorin alleviates cancer-related fatigue during chemotherapy for breast cancer by targeting EZH2/CCNE1 to regulate cell cycle and inflammatory microenvironment].

OBJECTIVES: To explore the molecular mechanisms and key pharmacodynamic basis of Baishao for alleviating cancer-related fatigue (CRF) during chemother...

Artificial intelligence-driven prediction of neoadjuvant chemotherapy response in adult patients with gastric cancer: a systematic review and meta-analysis.

OBJECTIVES: A substantial proportion of adults with locally advanced gastric cancer derive limited benefit from neoadjuvant chemotherapy (NAC), with a...

A data-driven approach to define the stages and patterns of neurological recovery after traumatic spinal cord injury.

BACKGROUND: Recovery after spinal cord injury (SCI) follows a complex and variable trajectory, yet the field lacks clear, data-driven definitions of t...

Hydrogen sulfide ameliorates cognitive dysfunction in diabetic encephalopathy by activating PI3K/AKT/GSK-3β signaling to attenuate tau hyperphosphorylation and necroptosis.

Diabetic encephalopathy (DE) is a serious complication of diabetes mellitus characterized by progressive cognitive dysfunction; but its underlying mec...