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Anita Layton

3 papers hereh-index 314 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.IV1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedSynthetic Data from Diffusion Models Improve Drug Discovery Prediction

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

q-bio.QM2025

Domain Knowledge Infused Conditional Generative Models for Accelerating Drug Discovery

Bing Hu, Jong-Hoon Park, Helen Chen +2

The role of Artificial Intelligence (AI) is growing in every stage of drug development. Nevertheless, a major challenge in drug discovery AI remains: Drug pharmacokinetic (PK) and…

eess.IV2025

Pathology-Guided Virtual Staining Metric for Evaluation and Training

Qiankai Wang, James E. D. Tweel, Parsin Haji Reza +1

Virtual staining has emerged as a powerful alternative to traditional histopathological staining techniques, enabling rapid, reagent-free image transformations. However, existing e…

cs.LG2024★ 2 cited

Synthetic Data from Diffusion Models Improve Drug Discovery Prediction

Bing Hu, Ashish Saragadam, Anita Layton +1

Artificial intelligence (AI) is increasingly used in every stage of drug development. Continuing breakthroughs in AI-based methods for drug discovery require the creation, improvem…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.