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세미나/행사각종 세미나, 컨터런스 특강 및 행사 일정을 안내하오니 많은 참석바랍니다

디지털헬스학과 전문가 초청 세미나노광식 교수 (Indiana University School of Medicine)
구분 특강 주최 디지털헬스학과
일시 2018/11/09(금) 장소 삼성서울병원 미래의학관 B1 세미나실
신청 담당자명 :
이메일 :
전화 :
기타 :
문의 담당자명 :
이메일 : tkdgur1217@naver.com
전화 :
기타 :
디지털헬스학과 전문가 초청 세미나

 

 

안녕하세요?

디지털헬스학과 전문가 초청 세미나 일정을 안내드립니다.

관심있는 분들의 많은 참석 부탁드립니다.

 

ㅁ 일 시 : 2018년 11월 09일 (금) 13:30 ~ 15:00

ㅁ 장 소 : 미래의학과 B1 세미나실

ㅁ 대 상 : 디지털 헬스케어에 관심있는 모든 분

ㅁ 연 자 : 미국 인디애나대학교 노광식 교수 (Indiana University School of Medicine)

ㅁ 연 제 : Neuroimaging Genomics in Alzheimer’s disease

 

ㅁ 내 용 : Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by a decline in cognitive functions with no validated disease modifying treatment. Despite intensive efforts, many recent clinical trials have failed mainly due to our incomplete knowledge of AD mechanisms. Although genetic susceptibility plays an important role, all of the known AD susceptibility genes including APOE account for only about 50% of late-onset AD heritability. In the last decade, rapid progress in high-throughput measurement technologies has generated massive high-dimensional data sets, ranging from clinical information and neuroimaging including structural (MRI) and functional (PET) scans to multi-omics including genomics, transcriptomics, proteomics, epigenomics, and metabolomics. In addition, large consortia have made available a rich collection of multi-omics and multimodal neuroimaging endophenotype data from human brain and blood samples as well as AD mouse models. The scale and richness of these ever-increasing data sets hold great promise, yet the complexity presents an urgent need to find effective ways to integrate diverse data from different levels of technologies to fully exploit the potential informativeness of big data. Here we will present neuroimaging genomics, an emerging data science field, and show that an integrative analysis of brain imaging and multi-omics data provides new insights into the phenotypic characteristics and genetic mechanisms of normal or disordered brain structure and function.

 

디지털헬스학과 전문가 초청 세미나노광식 교수 (Indiana University School of Medicine)
구분 특강
주최 디지털헬스학과
일시 2018/11/09(금)
장소 삼성서울병원 미래의학관 B1 세미나실
신청 담당자명 :
이메일 :
전화 :
기타 :
문의 담당자명 :
이메일 : tkdgur1217@naver.com
전화 :
기타 :
디지털헬스학과 전문가 초청 세미나

 

 

안녕하세요?

디지털헬스학과 전문가 초청 세미나 일정을 안내드립니다.

관심있는 분들의 많은 참석 부탁드립니다.

 

ㅁ 일 시 : 2018년 11월 09일 (금) 13:30 ~ 15:00

ㅁ 장 소 : 미래의학과 B1 세미나실

ㅁ 대 상 : 디지털 헬스케어에 관심있는 모든 분

ㅁ 연 자 : 미국 인디애나대학교 노광식 교수 (Indiana University School of Medicine)

ㅁ 연 제 : Neuroimaging Genomics in Alzheimer’s disease

 

ㅁ 내 용 : Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by a decline in cognitive functions with no validated disease modifying treatment. Despite intensive efforts, many recent clinical trials have failed mainly due to our incomplete knowledge of AD mechanisms. Although genetic susceptibility plays an important role, all of the known AD susceptibility genes including APOE account for only about 50% of late-onset AD heritability. In the last decade, rapid progress in high-throughput measurement technologies has generated massive high-dimensional data sets, ranging from clinical information and neuroimaging including structural (MRI) and functional (PET) scans to multi-omics including genomics, transcriptomics, proteomics, epigenomics, and metabolomics. In addition, large consortia have made available a rich collection of multi-omics and multimodal neuroimaging endophenotype data from human brain and blood samples as well as AD mouse models. The scale and richness of these ever-increasing data sets hold great promise, yet the complexity presents an urgent need to find effective ways to integrate diverse data from different levels of technologies to fully exploit the potential informativeness of big data. Here we will present neuroimaging genomics, an emerging data science field, and show that an integrative analysis of brain imaging and multi-omics data provides new insights into the phenotypic characteristics and genetic mechanisms of normal or disordered brain structure and function.

 

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