Yining (Sam) Huang
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    • Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale
    • Purely Agentic Black-Box Optimization for Biological Design
    • Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
    • Navigating Chemical Space with Latent Flows
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    • Augmenting Evolutionary Models with Structure-Based Retrieval
    • How to Go with The Flow: An Analysis of Flow Matching Molecular Docking Performance with Priors of Varying Information Content
    • An Energy Based Model for Incorporating Sequence Priors for Target-Specific Antibody Design
    • M²Hub: Unlocking the Potential of Machine Learning for Materials Discovery
    • Geometric Deep Learning for Structure-Based Drug Design: A Survey
    • A Prediction Model for Tacrolimus Daily Dose in Kidney Transplant Recipients With Machine Learning and Deep Learning Techniques
  • Recent & Upcoming Talks
    • From Literature Overload to AI Research Partner: Deep Research Agents for Biology
    • Machine Learning-Driven High-Throughput Mapping of Lipid Nanoparticle Structure–Function Relationships for Ex-Vivo Immunotherapy

A Prediction Model for Tacrolimus Daily Dose in Kidney Transplant Recipients With Machine Learning and Deep Learning Techniques

Feb 1, 2022·
Qiwen Zhang
,
Xueke Tian
,
Guang Chen
,
Ze Yu
,
Xiaojian Zhang
,
Jingli Lu
,
Jinyuan Zhang
,
Peile Wang
,
Xin Hao
Yining (Sam) Huang
Yining (Sam) Huang
,
Zeyuan Wang
,
Fei Gao
,
Jing Yang
· 0 min read
Paper
Publication
Frontiers in Medicine
publications
Last updated on Oct 3, 2026
Clinical AI Clinical Decision Support
← Geometric Deep Learning for Structure-Based Drug Design: A Survey Jun 20, 2023

© 2026 Yining (Sam) Huang. This work is licensed under CC BY NC ND 4.0

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