Priscilla Chan on Broadening Rare-Disease Research

A short argument for putting research tools in more hands, with context on spinal muscular atrophy.

PCPriscilla Chan연사
채널
No Priors: AI, Machine Learning, Tech, & Startups
게시일
2026년 7월 7일
영상
1:03
읽기
1분
원문
영어
YouTube에서 열기
스크롤하면 영상이 오른쪽 아래로 작아져 계속 재생됩니다. 자막은 읽기 언어를 따릅니다.
읽기 언어2개 언어로 읽을 수 있음
이 글은 아직 한국어 번역이 없어 영어 원문으로 표시합니다.
요약

30초 요약

Priscilla Chan argues that rare diseases may be overlooked by research strategies focused on large populations. She suggests broader access to tools could support more targeted research; SMA already has active research and approved treatments.

  1. 1A long tailCommon disease categories contain many distinct subtypes, alongside rare diseases.
  2. 2Broader accessChan argues for giving more researchers tools to pursue neglected questions.
  3. 3SMA contextSMA has active research and approved treatments.

핵심 정리

  1. Disease categories include many subtypes.
  2. Rare diseases can receive less attention in population-focused research.
  3. Chan favors broader access to research tools.
  4. SMA already has approved treatments.
전문

챕터별로 다듬은 전문 읽기

원본 자막만 보기
01

Researching the long tail

Priscilla Chan argues that disease categories contain many subtypes, and that rare conditions may receive less attention when research focuses on interventions affecting the largest numbers of people.

Priscilla Chan argues that disease categories contain many subtypes, and that rare conditions may receive less attention when research focuses on interventions affecting the largest numbers of people.

She proposes putting research tools in more people’s hands so that individuals and smaller groups can pursue conditions they care about. As an example, she mentions spinal muscular atrophy (SMA).

Chan suggests that studying a rare disease can also reveal broader biological mechanisms. This is an argument for widening research participation, not a guarantee that a particular tool or project will produce a treatment.

SMA is already the subject of active research and has approved treatments; it should not be understood from the clip’s headline as a disease nobody studies. For example, the FDA has approved gene therapy for specified SMA patients. [FDA announcement](https://www.fda.gov/news-events/press-announcements/fda-approves-gene-therapy-treatment-spinal-muscular-atrophy).

같은 채널의 다른 글

38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 29일팟캐스트 · 3명Serval’s Jake Stauch on coding agents for enterprise IT게스트 Jake Stauch · 진행자 Sarah Guo, Elad GilStauch explains why Serval is challenging ServiceNow, how it approaches permissions and approvals, and why background agents remain difficult to deploy safely.엔터프라이즈 AI코딩 에이전트Workflow automation+2
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 15일팟캐스트 · 2명The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurity진행자 Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.보안과 안전AI security안전과 거버넌스+3
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 9일팟캐스트 · 2명10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledger진행자 Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.오픈소스와 커뮤니티Open-weight modelsReinforcement Learning+3
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 2일팟캐스트 · 2명Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratio진행자 Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.인프라와 배포InferenceAI cost & performance+3
42:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 24일팟캐스트 · 2명They Paid $7.7 Billion for a Broker — and Intend to Do One Deal a Year진행자 Sarah Guo, Elad GilSequence Holdings co-founder Michael Lee tells No Priors why owning a market leader, not selling it software, is how AI actually remakes an incumbent.기업과 전략엔터프라이즈 AIAI Strategy+3
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 18일팟캐스트 · 2명Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Silicon진행자 Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.모델과 학습InferenceAI cost & performance+3