Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized Curricula

Precision medicine promises significant health benefits but faces challenges such as the need for complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of compu...

Full description

Saved in:
Bibliographic Details
Published inmedRxiv : the preprint server for health sciences
Main Authors Bahmani, Amir, Cha, Kexin, Alavi, Arash, Dixit, Amit, Ross, Antony, Park, Ryan, Goncalves, Francesca, Ma, Shirley, Saxman, Paul, Nair, Ramesh, Akhavan-Sarraf, Ramin, Zhou, Xin, Wang, Meng, Contrepois, Kévin, Than, Jennifer Li Pook, Monte, Emma, Rodriguez, David Jose Florez, Lai, Jaslene, Babu, Mohan, Tondar, Abtin, Rose, Sophia Miryam Schüssler-Fiorenza, Akbari, Ilya, Zhang, Xinyue, Yegnashankaran, Kritika, Yracheta, Joseph, Dale, Kali, Miller, Alison Derbenwick, Edmiston, Scott, McGhee, Eva M, Nebeker, Camille, Wu, Joseph C, Kundaje, Anshul, Snyder, Michael
Format Journal Article
LanguageEnglish
Published United States 01.08.2024
Online AccessGet more information

Cover

Loading…
Abstract Precision medicine promises significant health benefits but faces challenges such as the need for complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of computational experts, engineers, designers, and healthcare professionals to develop user-friendly systems and shared terminologies. The widespread adoption of large language models (LLMs) like GPT-4 and Claude 3 highlights the importance of making complex data accessible to non-specialists. The Stanford Data Ocean (SDO) strives to mitigate these challenges through a scalable, cloud-based platform that supports data management for various data types, advanced research, and personalized learning in precision medicine. SDO provides AI tutors and AI-powered data visualization tools to enhance educational and research outcomes and make data analysis accessible for users from diverse educational backgrounds. By extending engagement and cutting-edge research capabilities globally, SDO particularly benefits economically disadvantaged and historically marginalized communities, fostering interdisciplinary biomedical research and bridging the gap between education and practical application in the biomedical field.
AbstractList Precision medicine promises significant health benefits but faces challenges such as the need for complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of computational experts, engineers, designers, and healthcare professionals to develop user-friendly systems and shared terminologies. The widespread adoption of large language models (LLMs) like GPT-4 and Claude 3 highlights the importance of making complex data accessible to non-specialists. The Stanford Data Ocean (SDO) strives to mitigate these challenges through a scalable, cloud-based platform that supports data management for various data types, advanced research, and personalized learning in precision medicine. SDO provides AI tutors and AI-powered data visualization tools to enhance educational and research outcomes and make data analysis accessible for users from diverse educational backgrounds. By extending engagement and cutting-edge research capabilities globally, SDO particularly benefits economically disadvantaged and historically marginalized communities, fostering interdisciplinary biomedical research and bridging the gap between education and practical application in the biomedical field.
Author Miller, Alison Derbenwick
Lai, Jaslene
Akhavan-Sarraf, Ramin
Goncalves, Francesca
Wang, Meng
Monte, Emma
Alavi, Arash
Dixit, Amit
Akbari, Ilya
McGhee, Eva M
Kundaje, Anshul
Edmiston, Scott
Tondar, Abtin
Saxman, Paul
Cha, Kexin
Rodriguez, David Jose Florez
Yracheta, Joseph
Babu, Mohan
Yegnashankaran, Kritika
Zhou, Xin
Snyder, Michael
Rose, Sophia Miryam Schüssler-Fiorenza
Than, Jennifer Li Pook
Ross, Antony
Nebeker, Camille
Park, Ryan
Zhang, Xinyue
Contrepois, Kévin
Wu, Joseph C
Ma, Shirley
Bahmani, Amir
Dale, Kali
Nair, Ramesh
Author_xml – sequence: 1
  givenname: Amir
  orcidid: 0000-0003-4533-9334
  surname: Bahmani
  fullname: Bahmani, Amir
– sequence: 2
  givenname: Kexin
  surname: Cha
  fullname: Cha, Kexin
– sequence: 3
  givenname: Arash
  orcidid: 0000-0002-7245-6889
  surname: Alavi
  fullname: Alavi, Arash
– sequence: 4
  givenname: Amit
  surname: Dixit
  fullname: Dixit, Amit
– sequence: 5
  givenname: Antony
  surname: Ross
  fullname: Ross, Antony
– sequence: 6
  givenname: Ryan
  surname: Park
  fullname: Park, Ryan
– sequence: 7
  givenname: Francesca
  surname: Goncalves
  fullname: Goncalves, Francesca
– sequence: 8
  givenname: Shirley
  surname: Ma
  fullname: Ma, Shirley
– sequence: 9
  givenname: Paul
  surname: Saxman
  fullname: Saxman, Paul
– sequence: 10
  givenname: Ramesh
  surname: Nair
  fullname: Nair, Ramesh
– sequence: 11
  givenname: Ramin
  surname: Akhavan-Sarraf
  fullname: Akhavan-Sarraf, Ramin
– sequence: 12
  givenname: Xin
  surname: Zhou
  fullname: Zhou, Xin
– sequence: 13
  givenname: Meng
  surname: Wang
  fullname: Wang, Meng
– sequence: 14
  givenname: Kévin
  surname: Contrepois
  fullname: Contrepois, Kévin
– sequence: 15
  givenname: Jennifer Li Pook
  surname: Than
  fullname: Than, Jennifer Li Pook
– sequence: 16
  givenname: Emma
  surname: Monte
  fullname: Monte, Emma
– sequence: 17
  givenname: David Jose Florez
  surname: Rodriguez
  fullname: Rodriguez, David Jose Florez
– sequence: 18
  givenname: Jaslene
  surname: Lai
  fullname: Lai, Jaslene
– sequence: 19
  givenname: Mohan
  surname: Babu
  fullname: Babu, Mohan
– sequence: 20
  givenname: Abtin
  surname: Tondar
  fullname: Tondar, Abtin
– sequence: 21
  givenname: Sophia Miryam Schüssler-Fiorenza
  surname: Rose
  fullname: Rose, Sophia Miryam Schüssler-Fiorenza
– sequence: 22
  givenname: Ilya
  surname: Akbari
  fullname: Akbari, Ilya
– sequence: 23
  givenname: Xinyue
  surname: Zhang
  fullname: Zhang, Xinyue
– sequence: 24
  givenname: Kritika
  surname: Yegnashankaran
  fullname: Yegnashankaran, Kritika
– sequence: 25
  givenname: Joseph
  surname: Yracheta
  fullname: Yracheta, Joseph
– sequence: 26
  givenname: Kali
  surname: Dale
  fullname: Dale, Kali
– sequence: 27
  givenname: Alison Derbenwick
  surname: Miller
  fullname: Miller, Alison Derbenwick
– sequence: 28
  givenname: Scott
  surname: Edmiston
  fullname: Edmiston, Scott
– sequence: 29
  givenname: Eva M
  surname: McGhee
  fullname: McGhee, Eva M
– sequence: 30
  givenname: Camille
  surname: Nebeker
  fullname: Nebeker, Camille
– sequence: 31
  givenname: Joseph C
  surname: Wu
  fullname: Wu, Joseph C
– sequence: 32
  givenname: Anshul
  surname: Kundaje
  fullname: Kundaje, Anshul
– sequence: 33
  givenname: Michael
  orcidid: 0000-0003-0784-7987
  surname: Snyder
  fullname: Snyder, Michael
BackLink https://www.ncbi.nlm.nih.gov/pubmed/39211867$$D View this record in MEDLINE/PubMed
BookMark eNqFjssKwjAURLNQfP-C5AdcVMHHspRKuxNxX67JtQmkSblJKvr1VtG1qxnmnMVM2cA6iyM23hzWSbLf7ibMpEJp7LSteWmFiV53yAsEE5QAQh4UuVirHgasCcJbzGUUfXOWg5X8jB6BhOJ3HRRPy894QvLOgtFPlDyLRFpEA3M2vIHxuPjmjC2P-SUrVm28NiirlnQD9Kh-99Z_hRdRTEQK
ContentType Journal Article
DBID NPM
DatabaseName PubMed
DatabaseTitle PubMed
DatabaseTitleList PubMed
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod no_fulltext_linktorsrc
ExternalDocumentID 39211867
Genre Preprint
Journal Article
GroupedDBID NPM
ID FETCH-pubmed_primary_392118672
IngestDate Sat Nov 02 12:18:00 EDT 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel OpenURL
MergedId FETCHMERGED-pubmed_primary_392118672
ORCID 0000-0002-7245-6889
0000-0003-4533-9334
0000-0003-0784-7987
PMID 39211867
ParticipantIDs pubmed_primary_39211867
PublicationCentury 2000
PublicationDate 2024-Aug-01
PublicationDateYYYYMMDD 2024-08-01
PublicationDate_xml – month: 08
  year: 2024
  text: 2024-Aug-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle medRxiv : the preprint server for health sciences
PublicationTitleAlternate medRxiv
PublicationYear 2024
Score 3.8614247
Snippet Precision medicine promises significant health benefits but faces challenges such as the need for complex data management and analytics, interdisciplinary...
SourceID pubmed
SourceType Index Database
Title Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized Curricula
URI https://www.ncbi.nlm.nih.gov/pubmed/39211867
hasFullText
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ1ba8IwFMfD3GD4MjZ2v0ge9lY6sDf1sbgN3VDGcOCbpFmKAa3iOhE__U6uLTLZ5SWUJC2hv7Y5PTn_E4Ru_aQhBLp116de6AZRGrotljIXcCctj7AWSYU4udePOm_B0zAcFtvcSXVJntzR9be6kv9QhTrgKlSyfyBrLwoVcAx8oQTCUP6KcUzHnC3Vmj-dfMpI9E4R0GX24OnqlBCiow3o0MpE7fWQ7ti4q7QDxj5fC--vdhGSshULM-jrii8dExQyF6kxeZY7wsXLFjJ0UQksHT3DFs54Mp6qbaSceMptZHBbrTs9sxW3T2s8IUvVcUE-rNf6nq94rk_Pyz4LL7ARc3mJynwqsYCBVhdZ9X5u3UiMbZoqqNJoik9c_6VXRfumeuM_QdoLg0N0oA19HCtqR2iHZcdoYolhSwwXxLAmhkvEsCWGAQ42xLAghuOurCwTw5bYCao9PgzaHVcNcDRXiUVGZujeKdrNZhk7R5hGTcr895T4HgmCgJIGJWnQ9OtRyFhE_Qt0tuUil1tbrlC1gHKN9lJ4HdgN2FZ5UpN38Qv-HTRO
link.rule.ids 783
linkProvider National Library of Medicine
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Achieving+Inclusive+Healthcare+through+Integrating+Education+and+Research+with+AI+and+Personalized+Curricula&rft.jtitle=medRxiv+%3A+the+preprint+server+for+health+sciences&rft.au=Bahmani%2C+Amir&rft.au=Cha%2C+Kexin&rft.au=Alavi%2C+Arash&rft.au=Dixit%2C+Amit&rft.date=2024-08-01&rft_id=info%3Apmid%2F39211867&rft_id=info%3Apmid%2F39211867&rft.externalDocID=39211867