Ovarian Cancer

Programmable Electrohydrodynamic Printing of Pt-CNTs Nanointerfaces via In Situ Thermal Regulation for High-Fidelity Biosensing.

The accurate simultaneous detection of uric acid (UA) and dopamine (DA) remains a challenge in clinical diagnostics due to the insufficient sensitivity and selectivity of conventional electrodes. Herein, we present a programmable electrohydrodynamic jet (E-Jet) printing strategy that incorporates in situ thermal regulation to dynamically control ink properties and substrate interactions, enabling ...

Treatment-aware deep learning enables counterfactual prediction of individual benefit from PARP inhibitors in ovarian cancer.

Homologous recombination deficiency (HRD) assays are used to select patients with ovarian cancer for PARP inhibitors, but they do not fully capture the heterogeneity of treatment benefit. Using data from the phase III PAOLA-1 randomized trial, we developed a deep learning model based on diagnostic hematoxylin and eosin whole-slide images from treatment-naive primary tumors to estimate individual b...

Nanoelectronic Detection of Opioids: Machine Learning-Powered Screening With Carbon Nanotube Field-Effect Transistor Sensor Array.

The development of inexpensive, portable, and rapid opioid screening techniques is urgently needed because of the ongoing opioid crisis in the United ...

Feature Transformation Network based on Correlation Distribution Graph for Disease Diagnosis.

Gene expression data play a crucial role in disease diagnosis. Transforming such non-image data into spatially structured image representations enable...

Development and Validation of a Machine Learning Model to Prognosticate Hepatocellular Carcinoma.

BACKGROUND: Prognostic models for hepatocellular carcinoma (HCC) may have limited accuracy. We aimed to construct and validate a novel prognostic mode...

Identifying breast cancer subtypes and exploring spatial expression patterns of the key subtype-specific gene based on pathological images, single-cell sequencing, and spatial transcriptomic data.

BACKGROUND: Breast cancer (BRCA) is a heterogeneous disease. Accurate prognosis and molecular subtypes are critical for personalized treatment in BRCA...

A Highly Sensitive, Ultrawide-Range Temperature-Pressure Dual-Mode Sensing Platform for Battery Health and Marine Monitoring.

Dual-mode sensors with ultrahigh sensitivity, wide detection range, linearity, and stable temperature response are highly desirable for monitoring in ...

Integrating Machine Learning and Structure-Guided Discovery of a Novel Type II SYK Inhibitor for Treating Triple-Negative Breast Cancer.

Spleen tyrosine kinase (SYK) is a cytoplasmic nonreceptor kinase involved in immune signaling and homologous recombination (HR) repair of DNA double-s...

Deep learning-based prediction of gene expression from histopathology identifies NR5A1 as a candidate biomarker and druggable target in high-grade serous ovarian carcinoma.

BACKGROUND: High-grade serous ovarian cancer (HGSOC) is the most lethal ovarian cancer subtype, responsible for ~ 70% of ovarian cancer-related deaths...

Machine learning defines a histone deacetylase-associated transcriptional prognostic signature with single-cell resolution in breast cancer.

BACKGROUND: Breast cancer (BC) is a highly heterogeneous malignancy, and transcriptional programs associated with histone deacetylases (HDACs) may pro...

Topology-guided hard example mining for cell detection.

Automatic cell detection is a key task in digital pathology, where manual counting remains impractical due to its time-consuming nature and susceptibi...

Development and validation of pathomics signature for predicting prognosis of advanced high-grade serous ovarian carcinoma patients after platinum-based chemotherapy.

In patients with advanced high-grade serous ovarian carcinoma (HGSOC), the standard treatment typically involves platinum-based chemotherapy after deb...

Translating lineage-resolved single-cell programs to bulk clinical prognosis: Adversarial generative learning reveals lineage-informed immune - stromal - epithelial risk signatures.

BACKGROUND: Breast cancer transcriptional programs span malignant epithelial cells, and the tumor microenvironment (TME), yet tumor-normal contrasts a...

Deep Learning Assisted Motion Behavior Analysis of Catalytic Micromotors Based on Trajectory and Optical Flow.

Investigating micro/nanomotors' (MNMs') motion behavior is crucial for their practical applications and fundamental understanding of propulsion mechan...

Exercise-related genes predicts overall survival and tumor immune microenvironment, and identifies the biological role of SLC52A2 in breast cancer.

BACKGROUND: Breast cancer (BRCA) is the most common malignant tumor in women, with prognoses differing markedly by molecular subtype. Exercise is know...

Platinum-based high-entropy alloys for electrocatalysis: preparation, applications and prospects.

Platinum-based high-entropy alloys (Pt-HEAs), composed of multiple principal elements in near-equiatomic ratios, have emerged as a transformative clas...

Engineering Oriented Pt Deposition via Micro-Nano Crisscross Scaffolds: A Paradigm for High-Efficiency HER Catalyst.

A critical issue for the hydrogen evolution reaction (HER) is to break the inherent trade-off between catalytic activity and mass/charge transport in ...

Tobacco rattle virus triggers local defense and systemically coordinates taxoid biosynthesis in Taxus baccata revealed by integrated metabolic analysis.

The clinical demand for paclitaxel necessitates novel strategies to enhance its production. While recent breakthroughs have elucidated the complete bi...

Molecular and spatial differences in the tumor microenvironment of high-grade serous ovarian cancers with short versus long-term survival.

OBJECTIVE: Survival of patients diagnosed with advanced-stage high-grade serous ovarian cancer (HGSOC) varies widely. Understanding the biological and...

Bioinformatic and experimental analysis reveals ITGA5 as a driver of ovarian clear cell carcinoma progression and platinum resistance.

UNLABELLED: Ovarian clear cell carcinoma (OCCC) is a clinically aggressive subtype of epithelial ovarian cancer with limited therapeutic options. Here...