COVID-19

Automatic deep learning-based segmentation of cornea and lens in 2D OCT images of rabbit eyes.

Anterior-segment optical coherence tomography (AS-OCT) supports cataract surgery planning by revealing corneal and crystalline lens geometry, but clinical workflows require fast, user-independent delineation of key interfaces in noisy scans. We address this need with an end-to-end pipeline tailored to low signal to noise ratio (SNR), preclinical AS-OCT: a systematic architecture search selects a U...

TRIM36 and CAMK2N2 regulate ferroptosis and antigen presentation in small cell lung cancer.

Small cell lung cancer (SCLC) is a highly aggressive tumor with poor prognosis. Ferroptosis is closely linked to tumor antigen presentation: it affects antigen presentation efficiency via immunostimulatory signals, while CD8+ T cell activation induced by antigen presentation promotes tumor cell ferroptosis by secreting IFNγ. This study used multi-omics analyses and machine learning to screen key g...

Identification and validation of ferroptosis-related genes for diabetic nephropathy.

BACKGROUND: Emerging evidence highlights the pivotal role of ferroptosis in the pathophysiology of diabetic nephropathy (DN). This study aimed to iden...

Improvement of Peak Integration in Capillary Electrophoresis: Reference Data Set No. 1.

Capillary electrophoresis (CE) often provides superior separation of macromolecules such as monoclonal antibodies (mAbs), a major biopharmaceutical cl...

The Development and External Testing of Deep Learning Model for Automated Classification of Intervertebral Disc Degeneration on CT Images.

The study aims to develop and externally test a deep learning (DL) model using CT images for automatic classification of intervertebral disc degenerat...

Large-scale paired chain BCR analysis reveals antibody clonal family inference bias and enhances resolution with machine learning.

A fundamental question in immunology is how the adaptive immune system encodes antigen specificity while maintaining repertoire diversity. B cell rece...

Optimizing Diagnostic Accuracy of Clinical Red Flags in RASopathies.

RASopathies are a group of genetic disorders caused by pathogenic variants in the RAS-mitogen-activated protein kinase (RAS-MAPK) signaling pathway, o...

Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.

OBJECTIVES: European countries implemented highly diverse mitigation policies during the COVID-19 pandemic, ranging from strict nationwide lockdowns t...

Toward a cure for multiple myeloma within a decade.

Multiple myeloma (MM), long viewed as incurable, is entering a transformative era marked by deeper remissions, prolonged survival, and the realistic p...

ResNet based backbone integrated YOLO framework for bone fracture detection.

The usage of artificial intelligence and machine learning has significantly strengthened computer-aided medical diagnostics, and fine-tuning models an...

Advances in Pathogen Detection by Nanosensors: Biorecognition Strategies, Signal Amplification, and Platform Engineering.

The escalating global threat of infectious diseases, compounded by antimicrobial resistance (AMR), calls for improved diagnostic strategies. Conventio...

Predicting Antibody-Antigen Affinity with a Dual-Level Representation Model.

MOTIVATION: Protein language models (pLMs) are critical for modeling antibody-antigen interactions, yet sequence-based affinity prediction remains a k...

Unlocking the black box: multimodal imaging and quantitative analysis of plant vesicular trafficking.

How do plants, lacking a central nervous system, translate environmental stimuli into physiological actions within milliseconds? Vesicular trafficking...

Computational redesign of a thermostable T7 RNA polymerase.

T7 RNA polymerase (T7 RNAP) is a foundational enzyme for biotechnology, but its utility for many potential applications is limited by low thermal stab...

Survey of Computerized Adaptive Testing: a Machine Learning Perspective.

Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test quest...

EEG based detection of schizophrenia using asymmetry of entropy and CNN-LSTM model.

Schizophrenia is a severe neuropsychiatric disorder with a significant impact on individual's real-life functioning. It is characterized by abnormal a...

A Research Classification for Long COVID: Symptom Frequency and Severity Improve Accuracy of Machine Learning Models.

Long COVID definitions based solely on symptom occurrence may reduce diagnostic specificity.Machine-learning models incorporating symptom frequency an...

Precision immunotherapies for systemic lupus erythematosus: From pathogenic targets to translational horizons.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disorder in which aberrant B-cell activation, persistent autoantibody production, and...

OSCAR: A Modular Open-Source Robotic Platform for Biological Laboratories.

Biological research often involves complex, repetitive, and high-throughput manipulations that are well-suited to automation. However, current robotic...

Predictive biomarkers of response to chimeric antigen receptor (CAR) T-cell therapy for pan-haematologic cancer.

Chimeric antigen receptor (CAR) T-cell therapy holds great promise for patients with cancer, and the identification of predictive biomarkers is crucia...