一、活動主旨：
近年來，因應醫藥衛生產品與人工智慧的研發能量迅速成長，產品的安全性評估方法也逐漸有新穎性的發展，國家衛生研究院國家環境醫學研究所與國立陽明交通大學藥科院合作，規劃「醫藥衛生安全評估網」，首次以「生理藥物動力學與人工智慧整合」為主題，邀請美國弗羅里達州大學兩位研究學者線上演講，以促進國人對新穎安全性評估方法的了解、研發及應用。(右圖：OECD發佈以生理學為基礎的動力學(PBK)模式可用於法規管理的指導文件(GD 331))

二、時間地點：111年5月19日(四)臺灣時間上午9:00~11:00。工作坊以網路視訊方式(Cisco Webex)進行。Cisco Webex會議室連結網址，將以電子郵件通知與會人員。

Zhoumeng Lin, BMed, PhD, DABT, CPHAssociate Professor, Department of Environmental and Global Health,
Center for Environmental and Human Toxicology, University of Florida

應用生理暨藥物(毒理)動力學模式於奈米藥物及動物用藥安全性評估及在人工智慧技術上的應用
Applications of Physiologically Based Pharmacokinetic (PBPK) Modeling in Nanomedicine and Food Safety Assessment and Roles of Artificial Intelligence (AI) Approaches in these Areas Abstract

Wei-Chun Chou, PhDResearch Assistant Professor, Department of Environmental and Global Health,
Center for Environmental and Human Toxicology, University of Florida

發展基於貝氏框架的生理暨藥物(毒理)動力學模式及人工智慧技術在健康風險評估上的應用：以全氟辛烷磺酸研究為例
Development of Physiologically Based Pharmacokinetic (PBPK) Models Within Bayesian Framework and roles of artificial intelligence technologies in human health risk assessment: a case study with perfluorooctane sulfonate (PFOS) Abstract

時間

講題

09:00~09:05

Introduction

09:05~09:45

Zhoumeng Lin(林周孟), BMed, PhD, DABT, CPH
Applications of Physiologically Based Pharmacokinetic (PBPK) Modeling in Nanomedicine and Food Safety Assessment and Roles of Artificial Intelligence (AI) Approaches in these Areas

09:45~10:25

Wei-Chun Chou(周韋均), PhD
Development of Physiologically Based Pharmacokinetic (PBPK) Models Within Bayesian Framework and roles of artificial intelligence technologies in human health risk assessment: a case study with perfluorooctane sulfonate (PFOS)

10:25~10:50

Group Discussion