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X-WR-CALNAME:Future Health: Harnessing Multimodal Data and GenAI for Health
Promotion
X-WR-TIMEZONE:America/Los_Angeles
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DTSTART:20070311T020000
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UID:2024-11-04-amir-rahmani@cml.ics.uci.edu
DTSTAMP:20241104T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20241104T130000
DTEND;TZID=America/Los_Angeles:20241104T140000
SUMMARY:[CML Seminar] Amir Rahmani: Future Health: Harnessing Multimodal Da
ta and GenAI for Health Promotion
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Amir Rahmani\, Professor of Nursing and Computer Science\, Univ
ersity of California\, Irvine\n\nTitle: Future Health: Harnessing Multimod
al Data and GenAI for Health Promotion\n\nAbstract: Future Health emphasiz
es the importance of recognizing each individual's uniqueness\, which aris
es from their specific omics\, lifestyle\, environmental\, and socioeconom
ic conditions. Thanks to advancements in sensors\, mobile computing\, ubiq
uitous computing\, and artificial intelligence (AI)\, we can now collect d
etailed information about individuals. This data serves as the foundation
for creating personal models\, offering predictive and preventive advice t
ailored specifically to each person. In my presentation\, I will explore h
ow AI\, including generative AI\, and wearable technology are revolutioniz
ing the collection and analysis of big health data in everyday environment
s. I will discuss the analytics used to evaluate physical and mental healt
h and how smart recommendations can be made objectively. Moreover\, I will
illustrate how leveraging Large Language Models (LLMs)-powered conversati
onal health agents (CHAs) can integrate personal data\, models\, and knowl
edge into healthcare chatbots. Additionally\, I will present our open-sour
ce initiative on developing OpenCHA.\n\nhttps://cml.ics.uci.edu/seminars/2
024-11-04-amir-rahmani
X-ALT-DESC;FMTTYPE=text/html:Amir Rahmani\, Professor of
Nursing and Computer Science\, University of California\, Irvine
<
b>Title: Future Health: Harnessing Multimodal Data and GenAI for Healt
h Promotion
Abstract: Future Health emphasizes the importanc
e of recognizing each individual's uniqueness\, which arises from their sp
ecific omics\, lifestyle\, environmental\, and socioeconomic conditions. T
hanks to advancements in sensors\, mobile computing\, ubiquitous computing
\, and artificial intelligence (AI)\, we can now collect detailed informat
ion about individuals. This data serves as the foundation for creating per
sonal models\, offering predictive and preventive advice tailored specific
ally to each person. In my presentation\, I will explore how AI\, includin
g generative AI\, and wearable technology are revolutionizing the collecti
on and analysis of big health data in everyday environments. I will discus
s the analytics used to evaluate physical and mental health and how smart
recommendations can be made objectively. Moreover\, I will illustrate how
leveraging Large Language Models (LLMs)-powered conversational health agen
ts (CHAs) can integrate personal data\, models\, and knowledge into health
care chatbots. Additionally\, I will present our open-source initiative on
developing OpenCHA.
https://cml.ics.uci.edu/seminars/2024-11-04-amir-rahm
ani
URL:https://cml.ics.uci.edu/seminars/2024-11-04-amir-rahmani
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