Current Publication Issues

Explore the latest scholarly publications, research papers, and academic contributions from Curevita Innovation of BioData Intelligence.

Research Publication

Digital Twin-Enabled AQI Prediction Using a Hybrid TCN–RWKV Deep Learning Framework

Air Quality Index (AQI) forecasting is challenging because atmospheric pollution is governed by nonlinear pollutant interactions, temporal dependencies, meteorological conditions, missing observations, and abrupt emissio...

πŸ“… 2026 πŸ“š Curevita Innovation of BioData Intelligence
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Research Publication

Adaptive Fusion-Driven Hybrid Deep Learning Model with XAI for Multi-Level Feature Learning in Anemia Detection

Examining Peripheral Blood Smear (PBS) images under a microscope remains the gold standard for diagnosing different types of anemia and evaluating Red Blood Cell (RBC) shape and size. However, manual checks are time-cons...

πŸ“… 2026 πŸ“š Curevita Innovation of BioData Intelligence
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Research Publication

Digital Twins for Oncology: Integrating Multi-Omics Data into Mechanistic Models to Predict Patient-Specific Responses to Combination Therapies

Precision oncology aims to tailor cancer treatment to individual patients by leveraging molecular data and computational tools. Digital twin modeling, computational representations of a patient’s disease state, has emerg...

πŸ“… 2026 πŸ“š Curevita Innovation of BioData Intelligence
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Research Publication

Host-Microbe Cross-Talk: Reinforcement Learning Models for Predicting Microbial Metabolite Influence on Human Epigenetic Landscapes

The interplay between host epigenetics and microbial metabolites is a dynamic interface affecting human health. Microbial small molecules β€” short-chain fatty acids, bile acids, and tryptophan metabolites β€” influence host...

πŸ“… 2026 πŸ“š Curevita Innovation of BioData Intelligence
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Research Publication

Intelligent Nanobioremediation: Integrating Computer Science and Artificial Intelligence for Next-Generation Environmental Cleanup

Environmental pollution from heavy metals, plastics, and industrial waste severely threatens global ecosystems. Traditional remediation methods often fall short, being energy-intensive, expensive, and inefficient. Nanobi...

πŸ“… 2026 πŸ“š Curevita Innovation of BioData Intelligence
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