Kan Shao

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Associate Professor

Indiana State University

United States

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About

Kan Shao is an Associate Professor at Indiana University, United States. His research focuses on environmental toxicology and risk assessment, as evidenced by his recent articles on stress responses in honeybees to contaminants, benchmark dose modeling for epidemiological assessments, and the effects of cold plasma on fungal growth. Additionally, he is involved in the development of sustainable production processes and the safety of consumer products.

Recent Grants

Grant: Close

DEVELOP AND COMMERCIALIZE THE BAYESIAN DOSE-RESPONSE MODELING SYSTEM AND SERVICES

Open Date: 2020-07-01

Close Date: 2022-06-01

Grant: Close

Quantitative dose-response characterization for liver carcinogenicity with non-mutagenic modes of action

Open Date: 2020-01-13

Close Date: 2024-12-31

Grant: Close

Software and Services to Advance Dose-Response Modeling in Chemical Risk Assessment

Open Date: 2018-08-01

Close Date: 2019-08-01

Articles (20)

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2022

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2021

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2020

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2020

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2020

Collaborators (3)

Zheng Zhou

Lund University

SWEDEN

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James Klaunig

Professor Emeritus

Indiana State University

UNITED STATES

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Pengcheng Xun

Regeneron Pharmaceuticals

UNITED STATES

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Kan Shao

Research Interests

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About

Recent Grants

Articles (20)

Stress responses in the honeybee (Apis mellifera L.) midgut triggered by PFOA and PFHxS at environmental residue concentrations detected in bee products

Benchmark dose modeling for epidemiological dose–response assessment using case‐control studies

Effects of cold plasma on the growth and aflatoxin production of Aspergillus flavus

Development of a green Komagataella phaffii cell factory for sustainable production of plant-derived sesquiterpene (–)-α-bisabolol

Mixture toxic mechanism of phoxim and prochloraz in the hook snout carp Opsariichthys bidens

A tiered approach of hazard-prioritization and risk-ranking for chemical hazards in food commodities: Application for selected mycotoxins

Benchmark dose modeling for epidemiological dose–response assessment using prospective cohort studies

Bioaccessibility of Inorganic Arsenic in Rice: Probabilistic Estimation and Identification of Influencing Factors

The Effect of Historical Data-Based Informative Prior on Benchmark Dose Estimation of Toxicogenomics

A mode of action-based probabilistic framework of dose-response assessment for nonmutagenic liver carcinogens: a case study of PCB-126.

Margin of exposure to free formaldehyde in personal care products containing formaldehyde-donor preservatives: Evidence for consumer safety

Probiotic-loaded edible films made from proteins, polysaccharides, and prebiotics as a quality factor for minimally processed fruits and vegetables: A review

Quantitative Integration of Mode of Action Information in Dose–Response Modeling and POD Estimation for Nonmutagenic Carcinogens: A Case Study of TCDD

Using Prior Toxicological Data to Support Dose–Response Assessment─Identifying Plausible Prior Distributions for Dichotomous Dose–Response Models

Erratum: “A Web-Based System for Bayesian Benchmark Dose Estimation”

Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data

Health risk assessment of As due to rice ingestion based on iAs distribution and actual consumption patterns for the residents in Beijing: a cross-sectional study

Effects of chlorothalonil, prochloraz and the combination on intestinal barrier function and glucolipid metabolism in the liver of mice.

Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methods.

Use of study-specific MOE-like estimates to prioritize health effects from chemical exposure for analysis in human health assessments.

Collaborators (3)

Zheng Zhou

James Klaunig

Pengcheng Xun

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