ISMCO'20: 2ND INTERNATIONAL SYMPOSIUM ON MATHEMATICAL AND COMPUTATIONAL ONCOLOGY
PROGRAM

Days: Thursday, October 8th Friday, October 9th Saturday, October 10th

Thursday, October 8th

View this program: with abstractssession overviewtalk overview

08:50-10:00 Session 1: Keynote - Doron Levy
08:50
Fighting drug resistance with math (abstract)
10:10-11:10 Session 2: Statistical and Machine Learning Methods for Cancer Research I
10:10
Discriminative Localized Sparse Representations for Breast Cancer Screening (abstract)
10:30
Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer (abstract)
10:50
CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer (abstract)
11:10-11:30Coffee Break
11:30-12:30 Session 3: Poster Session I
11:30
A Mathematical Model of Cancer Immune Escape (abstract)
11:30
Modulating tumor composition in a cell-cell interaction model of SCLC (abstract)
12:00-12:30 Session 4: Poster Session I (pre-recorded)
12:00
Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection (abstract)
12:10
Model of hematopoiesis dynamics under IFN alpha therapy in Myeloproliferative Neoplasms (abstract)
12:10-13:30Lunch Break
15:00-15:20Coffee Break
15:20-17:00 Session 7: Panel Discussion I (Oliver Bogler)

Meeting number: 172 013 5644

Password: hZtb4Cbi@35

https://cbiit.webex.com/webappng/sites/cbiit/meeting/download/a222a0c0e975437498a83c8ea4e2b7eb?siteurl=cbiit&MTID=m8f3ea562167b287b99ac5ab1eb06ee95

"Bogler, Oliver (NIH/NCI) [E]" <oliver.bogler@nih.gov>

Friday, October 9th

View this program: with abstractssession overviewtalk overview

09:00-10:00 Session 8: Keynote - Jean Clairambault
Chair:
09:00
Plasticity in cancer cell populations: biology, mathematics and philosophy of cancer? (abstract)
10:10-11:10 Session 9: Mathematical Modeling for Cancer Research
10:10
tugHall: A Tool to Reproduce Darwinian Evolution of Cancer Cells for Simulation-Based Personalized Medicine (abstract)
10:30
Mathematical modeling of clonal evolution in hematopoietic tissue (abstract)
10:50
Better immunotherapy trials with higher power using mechanistic microsimulations (abstract)
11:10-11:30Coffee Break
11:30-12:30 Session 10: Poster Session II
11:30
Virtual screening of peptide-targets for cancer immunotherapy using HLA-Arena (abstract)
11:30
Detecting subclones from spatially resolved RNA-seq data (abstract)
11:30
Novel driver synonymous mutations in the coding regions of GCB lymphoma patients improve the transcription levels of BCL2 (abstract)
11:30
Financial and clinical impact of artificial intelligence for colorectal cancer genotyping (abstract)
11:30
Ex-vivo slide-free microscopy with H&E color-mapping via unpaired image-to-image translation. (abstract)
12:30-13:30Lunch Break
13:30-14:30 Session 11: Keynote - Ken Chen
13:30
Quantitative molecular dissection of cancer evolution (abstract)
14:40-15:40 Session 12: Statistical and Machine Learning Methods for Cancer Research II
14:40
Activation vs. Organization: Prognostic Implications of T and B cell Features of the PDAC Microenvironment (abstract)
15:00
Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features (abstract)
15:20
On the use of neural networks with censored time-to-event data (abstract)
15:40-16:00Coffee Break
16:00-17:30 Session 13: Panel Discussion II (Ernesto Lima & Chengyue Wu)

Please, use the link below to attend the panel through Zoom - you might need to have a Zoom account (free) to be able to participate:

https://utexas.zoom.us/j/95063728143

 Ernesto Augusto Bueno Da Fonseca Lima <ernesto.lima@utexas.edu>

Saturday, October 10th

View this program: with abstractssession overviewtalk overview

09:00-10:00 Session 14: Keynote - Alexander Pearson
09:00
Deep Learning for Clinically Actionable Cancer Pathology Feature Detection (abstract)
10:10-11:10 Session 15: General cancer computational biology
10:10
Leveraging Hi-C and Whole Genome Shotgun Sequencing for Double Minute Chromosome Discovery (abstract)
10:30
Scoring class I peptide-HLA complexes (abstract)
10:50
The potential of single cell RNA-sequencing data for the prediction of gastric cancer serum biomarkers (abstract)
11:10-11:30Coffee Break
11:30-13:00 Session 16: Workshop - Stergiou

This Wokshop will be taught using Zoom - please, use the link below to attend it.

You might need to have a Zoom account (free) to be able to participate.

https://unomaha.zoom.us/j/3670548739?pwd=UHh3ZUs2UnFYMTRtUVlNaHpOeGFCUT09

Nicholas Stergiou <nstergiou@unomaha.edu>

13:00-13:30Lunch Break
13:30-14:30 Session 17: Keynote - Jennifer Couch
13:30
Enriching cancer research through unconventional collaborations (abstract)
14:30-15:00Coffee Break
15:00-19:00 Session 18: Tutorial - Dinler Antunes

This Tutorial will be taught through Zoom - please, use the link below to attend it.

you might need to have a Zoom account (free) to be able to participate.

https://riceuniversity.zoom.us/j/94127695765?pwd=Qnc4VnIyZDljWTl2QnB5N0lTNkxGQT09

'Dinler Antunes' <dinler@rice.edu>