Presenter: Rose Catherine Kanjirathinkal, MTech

In this talk, we will discuss some of the recent research on improving the performance of personalized recommender systems by using knowledge graphs (KG) to uncover the long range preferences of users.

Presenter: Xinghua Lu, MD, PhD

Cancer is mainly caused by heterogeneous somatic genome alterations (SGAs).   Genome-scale data from individual patients are now readily available, and it is anticipated that precisely targeting specific genomic alterations of individual tumors will bring in more effective therapies.   However, there are 3 major gaps that hinder the translation of the genome data of a tumor to personalized therapy.

Presenter: S. Joshua Swamidass, MD, PhD

Adverse drug reactions (ADRs) are dangerous and expensive. Idiosyncratic ADRs, especially rare and severe hypersensitivity-driven ADRs, are the leading cause of medicine withdrawal and termination of clinical development.

Presenter: Victoria Kheronsky
Presenter: Xiaosong Wang, MD, PhD

The Cancer Genome Atlas project has generated a daunting amount of genomic and deep sequencing data for tens of thousands of human tumors. This provided unprecedented opportunities to systematically analyze the cancer genomes to discover driving genetic alternations and develop novel therapeutics. In the past a few years, we have developed the computational approaches that interrogates multiple levels of genomic data to reveal cancer-causal genes and therapeutic targets.

Presenter: Jose Posada and Rafael Ceschin

Posada:  According to the substance abuse and mental health services administration (SAMHSA) 43.1 million of adults (18.1%) in the US experienced some form of mental illness. Hospitalization for these of diseases is increasing at a faster rate than any other type of hospitalization. From the psychiatric hospitalized patients, 15% of all discharges were readmitted within 30 days and the costs among those readmissions are higher than for any other readmission cause. Moreover, CMS releases individual hospital readmission rates to the public as an indicator of quality of care.

Presenter: Sergio Castro and Michael Ding

Predicting Psychiatric Hospital Admission Among Adults with Major Depressive Disorder

Presenter: Jian Ma, PhD

Recent advances in next-generation sequencing (NGS) technologies have provided us with an unprecedented opportunity to better characterize the molecular signatures of human cancers. One hallmark of cancer genomes is aneuploidy, which engenders abnormal copy numbers amongst broadly connected sets of alleles. Structural variations (SVs) further modify the aneuploid cancer genomes into a mixture of rearranged genomic segments with extensive somatic copy number alterations (CNAs).

Presenter: David Boone, PhD

Insulin-like growth factor 1 (IGF1) signaling is involved in the initiation and progression of a subset of breast cancers by inducing cell proliferation and survival. Although the signaling cascade following IGF1 receptor activation is well studied, the key elements of the robust transcriptional response governing IGF1’s actions are not well understood.