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Session 3

New Finance: 

Finance and Global Partnerships AI Will Drive

Artificial intelligence(Al) is transforming research and development across the biohealth sector,

driving gains in R&D productivity and the likelihood of success. 


Translating these advances into real outcomes, however, requires more high-quality data, reduced Al bias, 

faster convergent research across nations and institutions, shared ethical guidelines, 

and clear strategies for applying Al to global public health.


Al-driven biohealth innovation is marked by high uncertainty in its early stages,

large upfront investment, long payback periods, and public-good characteristics such as

shared research infrastructure and data platforms.

As a result, individual corporate investment or traditional finance alone cannot secure sufficient funding.


New Finance is a funding strategy that addresses this gap, 

encompassing Innovative Financing—a financial approach that meets large-scale,

 long-horizon, public-good-type investment needs beyond the reach of any single nation or entity.


Accordingly, this session examines how the public and private sectors can jointly mobilize the capital required

 for Al-driven biohealth innovation through New Finance. 


The discussion opens with aligning national Al-driven biohealth policies with country-specific R&D platforms and global convergent research. 

It then turns to public-private partnership(PPP) models for closing the global biohealth gap and sharing risk,

 global open innovation enabled through New Finance, 

and directions for building a global investment ecosystem that accelerates the market entry and scale-up of innovative technologies. 


The session will share cases of New Finance in practice from global research institutions, 

international organizations, investment firms, and industry, 

with the aim of establishing a sustainable New Finance framework—together with its constituent public-private partnership 

model—for biohealth innovation in the Al era.

Program


Venue : B2F, Square Ballroom A

09:20-09:25

Opening Remarks 

H.E. Hyung-Hoon Lee

Vice Minister for Health and Welfare, MoHW 

09:25-09:35
Congratulatory Remarks
H.E. Dr. Leonardo Europeu Inocêncio
Secretary of State for Hospital Affairs, Ministry of Health of the Republic of Angola

Dr. Sang-Baek Koh

President, KHIDI

09:35-09:50

Global Standards for Financing Epidemic Preparedness and Response: CEPI's Experience and Challenges in the AI Era
Prof. Jane Halton
Chair of the Board, CEPI

09:50-10:05

Designing Health PPPs Through Multilateral Platforms: Blending Government, Industry, and Philanthropic Funding

Dr. Shyam Bishen

Head, Centre for Health and Healthcare, WEF

10:05-10:20

Healthcare AI in Japan: 
Policy and Investment Directions

Mr. Hiroyuki Nobutomo

Senior Project Manager, Japan AMED

10:20-10:35

From AI Innovation to Equitable Access: New Financing and Market Shaping for Digital Health

Ms. Anne-Claire Amprou

Chair of the Executive Board, Unitaid

10:35-10:50

Partnering to Accelerate AI-Driven R&D

Mr. Yorick Kamlag

Head of External Scientific Innovation and Partnership, AstraZeneca 

10:50-11:30

Panel Discussion
Moderator Dr. Kun-Ho Yoon
Vice President, NAMOK

Panel Prof. Jane Halton
Chair of the Board, CEPI

Panel Dr. Shyam Bishen

Head, Centre for Health and Healthcare, WEF

Panel Mr. Hiroyuki Nobutomo

Senior Project Manager, Japan AMED

Panel Ms. Anne-Claire Amprou

Chair of the Executive Board, Unitaid

Panel Mr. Yorick Kamlag

Head of External Scientific Innovation and Partnership, AstraZeneca

Panel Dr. Javier Guzmán
Health, Nutrition and Population Division Chief, IDB
Panel Mr. Lambert Kuk
Chief Investment Officer (CIO), KB Investment Co., Ltd. 
Panel Prof. Dr. Joonbeom Seo 
Professor of Radiology, University of Ulsan College of Medicine, Asan Medical Center

2026.10.21 (Wed)

2026.10.22 (Thu) 

Session 3


AI 기반 New Finance와 

글로벌 파트너십을 통한 바이오헬스 혁신

AI-Driven New Finance and Global  Partnerships for Biohealth Innovation

현재 글로벌 바이오헬스 산업은 인구 고령화 및 만성질환 증가, 

필수의료 인력 부족과 의료비 상승이라는 구조적 위기에 직면해 있다. 


동시에 방대한 멀티모달(Multimodal) 의료 데이터의 축적과 

생성형 AI 및 메디컬 파운데이션 모델(Foundation Model)의 비약적 발전은 

단순한 업무 자동화를 넘어 바이오헬스 전반의 구조적 

변화를 이끄는 기회가 되고 있다.


 AI는 이제 개별 제품의 성능 향상을 넘어 질병의 이해, 

후보물질 발굴, 임상개발, 초정밀 진단, 

그리고 지능형 병원 운영에 이르기까지 ‘환자 중심의 엔드투엔드(End-to-End) 

가치사슬’을 유기적으로 연결하고 있다. 


제약사가 개발한 혁신 신약은 AI 진단기기(SaMD)를 통한

정밀한 환자 스크리닝 및 동반진단과 연결되고, 

AI 네이티브 병원(AI-Native Hospital)에서 

축적된 실제 임상데이터(RWD)는 다시 제약사의 임상시험 최적화와 

공급망 혁신으로 환류되는 ‘데이터 선순환(Data Loop)’ 체계를 구축하고 있다.


 본 세션에서는 글로벌 병원, 빅파마, 의료 AI 선도기업의 실증 사례를 통해 

AI가 바이오헬스 가치사슬을 어떻게 재편하고 있는지 조망하고자 한다.


신약·의료기기 개발 패러다임 시프트, 병원 행정 및 임상 의사결정을 지능화하는 Hospital AX(AI 전환) 전략, 그리고 선제적 글로벌 규제 가이드라인을 중심으로 

고도화된 미래 의료 생태계의 청사진을 제시하고, 

궁극적으로 글로벌 보건의료 격차 해소와 환자 가치 창출을 위한 

실천적 협력 방향을 모색하고자 한다.