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Showing 1849-1869 of 4,651 articles

Lab-in-the-loop therapeutic antibody design with deep learning

Therapeutic antibody design is a complex multi-property optimization problem with substantial promis...

Jan 2025 10.1101/2025.02.19.639050

BudFinder: A Masked Auto-Encoder Vision Transformer Framework for Yeast Budding Detection

Yeast replicative lifespan is a crucial part of aging research, yet its quantification remains labor...

Jan 2025 10.1101/2025.11.04.686463

Diffusion Models vs. DCGANs for Class-Imbalanced Lung Cancer CT Classification: A Comparative Study

Effective lung cancer detection from CT scans remains critically challenged by class imbalance where...

Jan 2025 10.1101/2025.11.19.689331

TEIP: A Compact, Open-Source Framework for Predicting Tumor Epitope Immunogenicity in Glioblastoma Using Deep Learning and Multi-Modal Biological Features

This work introduces a modular, open-source computational pipeline for glioblastoma (GBM) vaccine de...

Jan 2025 10.1101/2025.11.09.687510

A Computational Pipeline for Glioblastoma Vaccine Development: Integrating Novel Omics-Driven OIP5 Target Discovery to Create a Deep Learning-Based Immunogenicity Framework for Personalized Immunotherapy

This work introduces a modular, open-source computational pipeline for glioblastoma (GBM) vaccine de...

Jan 2025 10.64898/2025.12.23.696316

De Novo Computational Design of VHH Nanobodies Against LGR5

VHH discovery traditionally relies on animal immunization or large-scale library screening, methods ...

Jan 2025 10.64898/2025.12.02.691880

Large generative mRNA language foundation model for efficient coding sequence generation and design with mRNA-GPT

mRNA design plays a central role in synthetic biology, nucleic acid therapeutics, and vaccine develo...

Jan 2025 10.64898/2025.12.22.695962

Ensemble-DeepSets: an interpretable deep learning framework for single-cell resolution profiling of immunological aging

Immunological aging (immunosenescence) drives increased susceptibility to infections and reduced vac...

Jan 2025 10.64898/2025.12.25.696528

Molecular Biointerface Characterisation for an Implanted Medical Device Using Cryogenic Orbitrap Secondary Ion Mass Spectrometry (Cryo-OrbiSIMS)

Implanted medical devices often fail due to foreign body reaction (FBR), a process still not fully u...

Jan 2025 10.1101/2025.05.09.652996

VaxjoGNN: A Graph Neural Network for Ontology-Grounded Vaccine Adjuvant Recommendation

The selection of an effective adjuvant is a critical bottleneck in vaccine development, particularly...

Jan 2025 10.1101/2025.11.27.690985

Deep Learning–Based Early Detection of Major Adverse Cerebral Injuries in Cardiothoracic and Vascular Surgery

Despite advances in central nervous system (CNS)-protective anesthetic and surgical strategies, peri...

Jan 2025 10.1101/2025.01.10.25320368

SYSTEMS AND NETWORK BIOLOGY ANALYSIS COMBINED WITH MACHINE LEARNING IDENTIFIES KEY IMMUNE RESPONSE PROFILES AND POTENTIAL CORRELATES OF PROTECTION FOR THE M72/AS01E TUBERCULOSIS VACCINE

Tuberculosis claims around 1.5 million lives annually. The M72/AS01E vaccine candidate is an innovat...

Jan 2025 10.1101/2025.01.13.25320455

Utilizing ChatGPT to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation

Large language models (LLMs) like ChatGPT showed great potential in aiding medical research. A heavy...

Jan 2025 10.1101/2023.09.06.23295072

Using large language models to understand the public discourse towards vaccination in Brazil between January 2013 and December 2019

Vaccination against infectious diseases prevents diseases, saves lives, and reduces healthcare costs...

Jan 2025 10.1101/2025.02.24.25322766

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Browse Categories

Lab-in-the-loop therapeutic antibody design with deep learning

BudFinder: A Masked Auto-Encoder Vision Transformer Framework for Yeast Budding Detection

Diffusion Models vs. DCGANs for Class-Imbalanced Lung Cancer CT Classification: A Comparative Study

TEIP: A Compact, Open-Source Framework for Predicting Tumor Epitope Immunogenicity in Glioblastoma Using Deep Learning and Multi-Modal Biological Features

A Computational Pipeline for Glioblastoma Vaccine Development: Integrating Novel Omics-Driven OIP5 Target Discovery to Create a Deep Learning-Based Immunogenicity Framework for Personalized Immunotherapy

De Novo Computational Design of VHH Nanobodies Against LGR5

Large generative mRNA language foundation model for efficient coding sequence generation and design with mRNA-GPT

Ensemble-DeepSets: an interpretable deep learning framework for single-cell resolution profiling of immunological aging

Molecular Biointerface Characterisation for an Implanted Medical Device Using Cryogenic Orbitrap Secondary Ion Mass Spectrometry (Cryo-OrbiSIMS)

VaxjoGNN: A Graph Neural Network for Ontology-Grounded Vaccine Adjuvant Recommendation

Deep Learning–Based Early Detection of Major Adverse Cerebral Injuries in Cardiothoracic and Vascular Surgery

SYSTEMS AND NETWORK BIOLOGY ANALYSIS COMBINED WITH MACHINE LEARNING IDENTIFIES KEY IMMUNE RESPONSE PROFILES AND POTENTIAL CORRELATES OF PROTECTION FOR THE M72/AS01E TUBERCULOSIS VACCINE

Utilizing ChatGPT to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation

Using large language models to understand the public discourse towards vaccination in Brazil between January 2013 and December 2019

A Claims-Based Machine Learning Classifier of Modified Rankin Scale in Acute Ischemic Stroke

Quantifying Device Type and Handedness Biases in a Remote Parkinson’s Disease AI-Powered Assessment

Foundation time series models for forecasting and policy evaluation in infectious disease epidemics

Sentiment analysis of employees and COVID-19 vaccine hesitancy at workplace

Integrated Explainable Ensemble Machine Learning Prediction of Injury Severity in Agricultural Accidents

Diagnostic accuracy in detecting malignancy in suspicious skin lesions using Artificial Intelligence

Mining Social Media Data for Influenza Vaccine Effectiveness Using a Large Language Model and Chain-of-Thought Prompting

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