AIMC Journal:
bioRxiv

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ComCat: Combating Covariate Effects in Brain Analysis

bioRxiv Jun 23, 2026
As neuroimaging analysis shifts toward large-scale, multi-site studies, managing the unwanted variability introduced by combining heterogeneous datasets has become a critical challenge. Although tools such as ComBat and its neuroimaging extensions ar...
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PIGMENT: A deep learning framework for Porcine Immunohistochemistry seGMENTation

bioRxiv Jun 23, 2026
Traumatic brain injury produces widespread axonal damage can be assessed histologically using amyloid precursor protein (APP) immunohistochemistry, which labels injured axonal profiles at cellular resolution [1, 2]. However, quantification of APP pat...
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Multi-Scale Machine Learning for Antibody-Antigen Binding Affinity Prediction Using Deep Mutational Scanning and Structural Features

bioRxiv Jun 23, 2026
Predicting how mutations alter antibody-antigen binding affinity is essential for antibody engineering and vaccine design, yet current methods generalize poorly to unseen complexes. We present a multi-scale machine learning framework integrating 93 d...
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HTS-Oracle X: AI-Guided Prospective Discovery of Small Molecule Immune Checkpoint Binders

bioRxiv Jun 22, 2026
Targeting immune checkpoint protein-protein interactions (PPIs) using small molecules remains limited by the shallow, featureless binding surfaces of co-stimulatory and co-inhibitory receptors and the characteristically low hit rates of conventional ...
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Reduced dopaminergic reinforcement, not learning capacity, limits operant learning in aging Drosophila

bioRxiv Jun 22, 2026
Aging is associated with a progressive decline in cognitive function, including the ability to adapt behavior based on its consequences. While classical conditioning in Drosophila melanogaster has provided key insights into reinforcement learning, ho...
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Real-world results from a Machine Learning-guided, phenotypic High-Throughput Screen for novel antibiotics

bioRxiv Jun 22, 2026
Antimicrobial resistance is an urgent global health threat, with over 2.8 million multidrug-resistant infections killing over 35,000 annually in the US. Machine Learning (ML) has emerged as a potential solution to improve efficiency of antibiotic hig...
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Simulation of cell-size systems at long timescales with flexible protein structures

bioRxiv Jun 22, 2026
Protein behavior inside cells is dominated by the crowded nature of the intracellular environment. Progress in structure determination of proteins and protein complexes, based on advances in Artificial Intelligence, provides an opportunity for struct...
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Label-free Pathogen Identification with Microscopy Imaging and Deep Learning

bioRxiv Jun 22, 2026
Rapid and accurate pathogen identification is crucial for the clinical management of infectious diseases, particularly sepsis and severe respiratory infections, yet standard clinical workflows remain slow and resource-intensive. Here, we developed an...
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A global analysis of climate-driven reversal risks in forests

bioRxiv Jun 22, 2026
The integrity of forest-based climate solutions and carbon credits requires persistent carbon storage, but climate change is increasing the risk of natural disturbances that release carbon back into the atmosphere. Using global satellite data, distur...
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kontakteUR: transforming coordinates to chemical intuition to focus on essential interactions in biomolecular systems

bioRxiv Jun 22, 2026
Molecular interactions govern cellular function, making them essential to discover biomolecular mechanisms by unravelling structure-function relationships. The rapid growth of AI-based prediction, experimental determination, and molecular dynamics si...
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