COVID-19

HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides.

We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukoc...

Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI.

BACKGROUND: Neoadjuvant therapy plays a pivotal role in breast cancer treatment, particularly for pa...

An Innovative Machine Learning Based Multistage Signal Amplification Method Breaks through the Detection Limits of Conventional Optical Sensors.

Surface plasmon resonance (SPR) enables in situ, label-free, real-time molecular detection. However,...

Rotational, vibrational, conformational and diastereomeric dimer cooling of aminoalcohols in soft supersonic expansions and the monohydrate of dimethylaminoethanol.

Supersonic jet expansions allow to cool molecules and to form molecular complexes over a wide range ...

Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five...

Enhancing EEG-Based Schizophrenia Diagnosis with Explainable Multi-Branch Deep Learning.

Schizophrenia poses diagnostic challenges due to a lack of objective assessment. We propose MBSzEEGN...

Noninvasive and Sensitive Biosensor for the Detection of Oral Cancer Prognostic Biomarkers.

Early detection of oral squamous cell carcinoma (OSCC) significantly enhances treatment outcomes and...

Brain Oscillations in Bipolar Disorder: Insights from Quantitative EEG Studies.

IntroductionQuantitative electroencephalography (QEEG) is a neurophysiological tool that analyzes br...

Inexpensive method for the quantitative estimation of hepatitis C virus RNA in blood plasma for low-resource settings using ML-based image intensity analysis of RT-LAMP products.

Hepatitis C virus (HCV) infection is a severe public health problem affecting nearly 3% of the world...

Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation.

Chest X-ray (CXR) imaging plays a pivotal role in the diagnosis and prognosis of viral pneumonia. Ho...

Testing for completions that simulate altruism in early language models.

Altruism underlies cooperative behaviours that facilitate social complexity. In late 2022 and early ...

In silico prediction of variant effects: promises and limitations for precision plant breeding.

Sequence-based AI models show great potential for prediction of variant effects at high resolution, ...

A visualized machine learning model using noninvasive parameters to differentiate men with and without prostatic carcinoma before biopsy.

This study aimed to create a visualized extreme gradient boosting (XGBOOST) model to distinguish pro...

Conserved heavy/light contacts and germline preferences revealed by a large-scale analysis of natively paired human antibody sequences and structural data.

Understanding the pairing preferences and structural interactions between antibody heavy and light c...

Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants.

Genetic variants can impact the structure of the corresponding protein, which can have detrimental e...

Advancements and challenges in inverse lithography technology: a review of artificial intelligence-based approaches.

Inverse lithography technology (ILT) is a promising approach in computational lithography to address...

Fast identification of influenza using label-free SERS combined with machine learning algorithms clinical nasal swab samples.

Influenza virus outbreaks, which have become more frequent in recent years, have attracted global at...

AlphaBind, a domain-specific model to predict and optimize antibody-antigen binding affinity.

Antibodies are versatile therapeutic molecules that use combinatorial sequence diversity to cover a ...

The evolving therapeutic landscape of Graves' disease in adults: present and future.

The therapeutic landscape of Graves' hyperthyroidism has been rapidly evolving in the past few years...

Machine learning in Alzheimer's disease genetics.

Traditional statistical approaches have advanced our understanding of the genetics of complex diseas...

Mechanistic modeling or machine learning for detecting variants of concern: Why not both?