Temadag 16 maj: AI / Data-driven life science

Forskningen inom life science blir allt mer beroende av data och aldrig tidigare har så mycket data genererats som idag. Mängden och komplexiteten ökar exponentiellt och när denna data blir öppen för forskare runt om i världen möjliggörs fler vetenskapliga upptäckter. Den snabba tekniska utvecklingen inom life science, i kombination med innovationer inom databehandling och AI, kommer att få en allt viktigare roll inom forskning och utveckling och påverka praktiskt taget alla områden inom medicin och naturvetenskap.

Under denna dag får du träffa framstående internationella och lokala forskare, ta del av aktuell forskning och diskutera öppna data, AI och etik samt visualisering relaterat till life science.

Föreläsningar och presentationer kommer att ges på engelska.

Anmälan är nu stängd.

En del föreläsningar och presentationer kommer att livestreamas via zoom. Om de går att ta del av digitalt finns ett (L) efter rubriken. Du behöver inte ha anmält dig för att ta del av föreläsningarna digitalt.

För mer information om programmet kontakta Bengt Persson och Carolina Wählby


Location: Ångström Laboratory, Lägerhyddsvägen 1
Registration opens at 08.30 outside Eva von Bahr, house 10, Ångströmlaboratory.

All lectures and presentations takes place in Eva von Bahr.

09.15 - 09.30: Introduction. (L)

09.30 - 10.00: Data science approaches to decipher the infant gut microbiome. (L)
Moran Yassour, Faculty of Medicine & School of Computer Science & Engineering, The Hebrew University of Jerusalem

Abstract and short bio - Moran Yassour.

10.00 - 10.15: Connecting non-coding mutations in cancer to function by evoultionary constraint. (L)
Karin Forsberg Nilsson, Professor at the Department of Immunology, Genetics and Pathology

10.15 - 10.30: Using ancient and modern genomic data to reconstruct human history in Africa. (L)
Carina Schlebusch, Associate Professor at Department of Organismal Biology, Uppsala University

Coffee, poster session and visual demonstrations takes place at floor one, house 10.

10.30 - 11.15: Coffee and poster-session

11.15 - 12.30 Visual demonstrations and scientific highlights from Uppsala University.

Lunch and performance takes place at floor 0.

12.30 - 13.50: Lunch & Performance
Lunch salad can be picked up outside Eva von Bahr.

14.00 - 14.30: Longitudinal Phenotypes, Disease and Treatment Trajectories at Population Scale (L)
Søren Brunak, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen

14.30 - 14.45: Revealing patterns of hidden biodiversity by combining AI and environmental DNA. (L)
Tobias Andermann, Data Driven Life Science Fellow, Uppsala University

14.45 - 15.00: Ethics, AI, and Life (Science). (L)
Thomas Lennerfors, Professor at the Department of Civil and Industrial Engineering and Mikael Laaksoharju, Seniror Lecturer at the Department of Information Technology

15.00 - 15.30: Coffee

15.30 - 16.30: Panel discussion. (L)

16.30: Mingle

Data science approaches to decipher the infant gut microbiome.
The microbiome is the collection of microorganisms, mostly bacteria, living in and on our bodies. This complex community is integral to maintaining human health. The gut microbiome is the largest and most diverse community of microbes in our bodies. Interestingly, microbes that inhabit the infant gut in the first months of life influence development of the immune system and different diseases. In my talk I will describe the biological big-data that we generate in order to characterize microbial communities, and the computational tools we develop to analyze the dynamics of the infant gut microbiome and its role in pediatric health. 

No biological knowledge is needed to understand the talk. 

Short bio - Moran Yassour
Dr. Moran Yassour is a senior lecturer at the Hebrew University, Faculty of Medicine, with joint affiliation at the school of Computer Science and Engineering. The Yassour lab studies the development of the human microbiome in health and disease, by developing new cohorts to study the establishment of the newborn gut microbiome and characterize the mother-to-child bacterial transmission. During the covid-19 pandemic, the Yassour lab also joined forces with Hadassah Medical Center to analyze hundreds of thousands of SARS-CoV-2 tests, showing how pooling approaches can increase diagnostic labs' efficiency.

Dr. Yassour did her postdoctoral training at the Broad Institute of MIT and Harvard University, with Ramnik Xavier and Eric Lander, where she studied the human gut microbiome. During her PhD in the Friedman (HebrewU) and Regev (MIT/Broad) labs, she developed tools to reconstruct the transcriptome of partially assembled genomes and aberrant cancer genomes.

Dr Yassour received her B.Sc., M.Sc., and Ph.D. in the Computer Science and Computational Biology program at the Hebrew University of Jerusalem.

Longitudinal Phenotypes, Disease and Treatment Trajectories at Population Scale
Multi-step disease trajectories are key to the understanding of human disease progression patterns and their underlying molecular level etiologies. The number of human protein coding genes is small, and many genes are presumably impacting more than one disease, a fact that complicates the process of identifying actionable variation for use in precision medicine efforts. We present approaches to the identification of frequent disease and treatment trajectories from population-wide healthcare data comprising millions of patients and corresponding strategies for linking disease co-occurrences to genomic individuality. We carry out temporal analysis of clinical data in a life-course oriented fashion. We use data covering 7-10 million patients from Denmark collected over a 20-40 year period and use them to “condense” millions of individual trajectories into a smaller set of recurrent ones.

Senast uppdaterad: 2022-05-16