AIMC Journal:
bioRxiv

Showing 2851 to 2860 of 4993 articles

PHbinder and PSGM: A Cascaded Framework for Epitope Prediction and HLA-I Allele Identification

bioRxiv
The presentation of antigens by Human Leukocyte Antigen class I (HLA-I) molecules is a cornerstone of adaptive immunity. Although existing prediction tools such as NetMHCpan and MHCflurry exhibit high accuracy in predicting binding affinity between p...

Polymer functionalized liposomes as universal nanocarriers for drug delivery: Single particle insights on size-dependent performance and intracellular behavior

bioRxiv
Nanomedicine requires smart delivery systems that are precise, robust, and universal. While liposomes are established vehicles in drug delivery, their full potential is challenged by limited stability, leakage, insufficient response and limited insig...

Accelerating Natural Product Discovery with Linked MS-Genomics and Language/Transformer-Based Models

bioRxiv
An integrated multi-modal characterization of a microbial strain library streamlines the effort for natural product discovery. By integrating language- and transformer-based models to cross-validate mass spectrometry (MS)-genome datasets, microbial p...

Clinical and molecular characterisation of primary refractoriness to atezolizumab plus bevacizumab in patients with unresectable hepatocellular carcinoma

bioRxiv
Despite improved outcomes with atezolizumab plus bevacizumab (A+B) in hepatocellular carcinoma (HCC), primary refractoriness (PRef), characterised by early progression or short-lived disease stabilisation following treatment, remains a significant an...

Machine-Learning-Assisted Exploration of High Entropy-Atom Nanozyme for Anti-Tumor Immunotherapy by Enhancing Enzyme Activity and Disrupting Dual Energy Metabolism

bioRxiv
Despite its potential in cancer therapy, single-atom nanozyme (SAzyme) faces challenges like low atomic loading and rapid cancer metabolism. Here, a high-entropy atom nanozyme (HEAzyme), PtNiBiSnSb-anti-CD36, is designed for efficient anti-tumor immu...

Heart Murmur Detection in Phonocardiogram Data Leveraging Data Augmentation and Artificial Intelligence

bioRxiv
With a 17.9 million annual mortality rate, cardiovascular disease is the leading global cause of death. As such, early detection and disease diagnosis are critical for effective treatment and symptom management. Cardiac auscultation, the process of l...

UNICORN: Towards Universal Cellular Expression Prediction with a Multi-Task Learning Framework

bioRxiv
Sequence-to-function analysis is a challenging task in human genetics, especially in predicting cell-type-specific multi-omic phenotypes from biological sequences such as individualized gene expression. Here, we present UNICORN, a new method with imp...

Hierarchical Neural Circuit Theory of Normalization and Inter-areal Communication

bioRxiv
The primate brain exhibits a hierarchical, modular architecture with conserved microcircuits executing canonical computations across reciprocally connected cortical areas. Though feedback connections are ubiquitous, their functions remain largely unk...

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

bioRxiv
Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved into this phenomenon, distinguishing the processing ...

Integrating explainable AI with multiomics systems biology and EHR data mining for personalized drug repurposing in Alzheimer’s disease

bioRxiv
Alzheimer’s disease (AD) is characterized by region- and patient-specific molecular heterogeneity, which hinders therapeutic design. In this study, we introduce PRISM-ML (PRecision-medicine using Interpretable Systems and Multiomics with Machine Lear...