AIMC Journal:
bioRxiv

Showing 911 to 920 of 4938 articles

Evolutionary Stratification of Codon Usage Bias In Plants Arises from GC3 Composition and Translational Optimization

bioRxiv Jul 1, 2026
Codon usage bias is a fundamental genomic characteristic that prefers non-random preferential use of synonymous codons. It is a major determinant of translational efficiency, gene regulation, and molecular evolution. However, the evolutionary bias an...
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Safe Redosable Low-Immunogenic In Vivo CAR-T Therapy for B Cell Malignancies and Solid Tumors

bioRxiv Jul 1, 2026
In vivo CAR-T cell therapy eliminates manufacturing complexities associated with ex vivo autologous approaches, but safety concerns have limited adoption. We developed viroVbot, a next-generation in vivo CAR-T platform, by combining computational imm...
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AI-guided discovery for low-resource peptide engineering using evolutionary scale modeling

bioRxiv Jul 1, 2026
Reliable estimation of downstream performance in low-data peptide machine learning is critical for guiding early-stage AI-driven peptide engineering. Yet, it is often unclear how to assess whether a model will be effective in iterative discovery sett...
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Electrophysiological profiling of hiPSC-derived neurospheres using a novel NeuroMPS with integrated electrodes

bioRxiv Jul 1, 2026
The increasing prevalence of neurological disorders highlights the need for human in vitro systems that recapitulate key mechanisms of neurodegeneration and neuroinflammation. Although induced pluripotent stem cell (iPSC)-derived organoids and sphero...
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In Vitro Detection of Breast Cancer Cell Types Using Machine Learning-Assisted Spectral Fingerprinting of SWCNTs

bioRxiv Jul 1, 2026
The early detection of breast cancer currently relies on expensive mammography, followed by pathology that uses biopsied, fixed, and immunohistochemically stained tissues. A live-cell detection approach could be highly beneficial as a supportive diag...
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MintCNA: A Unified Framework for Integrative Copy Number Profiling with Single-Cell Multi-Omics Data

bioRxiv Jul 1, 2026
Chromosomal copy number alterations (CNAs) are key drivers of tumor evolution, disease progression and therapeutic resistance, and the identification of them is an important step to delineate tumor clonal structure. However, accurately resolving CNA ...
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Machine learning on magnetoencephalography data yields generalizable low-dimensional neural fingerprints that distinguish individuals across task conditions

bioRxiv Jul 1, 2026
Individual brains are unique in structure and function. Functional differences are captured by neural fingerprints, which reflect individual differences in behavior and cognition as well as group-level changes related to neurodegenerative diseases. M...
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Tracking claim changes from preprint to publication across 72,644 biomedical studies using large language models

bioRxiv Jul 1, 2026
Preprints now disseminate a large share of biomedical research before peer review. Because they have not yet passed peer review, some scientists regard preprint claims as unverified or potentially unreliable, yet how much those claims change before p...
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Quantifying structural vulnerabilities and resilience to research integrity risks in biomedical research networks

bioRxiv Jul 1, 2026
Retractions of scientific articles reflect a rising research integrity risk in biomedical research, and continued citation of retracted articles poses a downstream risk to research that built upon unreliable studies. Few studies have examined the str...
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Tabular Foundation Models Are Competitive Cellular Perturbation Predictors Across Biological Scales

bioRxiv Jul 1, 2026
Predicting how cells respond to genetic and chemical perturbations is a central challenge in drug discovery and functional genomics. A growing ecosystem of specialized single-cell foundation models has been developed to address this problem, yet thei...
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