Data-Drive Analytics for Precision Medicine

Slides:

Advertisements

Similar presentations

MongoDB PostgreSQL SaaS Quality Measure Storage

Advertisements

Scientific Data Mining: Emerging Developments and Challenges F. Seillier-Moiseiwitsch Bioinformatics Research Center Department of Mathematics and Statistics.

Graduate Certificate in Personalized Medicine George Mason University School of Systems Biology/College of Science Will be open in Fall 2015.

OLAM and Data Mining: Concepts and Techniques. Introduction Data explosion problem: –Automated data collection tools and mature database technology lead.

Mining Large Data at SDSC Natasha Balac, Ph.D.. A Deluge of Data Astronomy Life Sciences Modeling and Simulation Data Management and Mining Geosciences.

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Health Sciences Global Business Unit Strategy Steve Rosenberg Senior Vice.

Data Mining. 2 Models Created by Data Mining Linear Equations Rules Clusters Graphs Tree Structures Recurrent Patterns.

Last Words COSC Big Data (frameworks and environments to analyze big datasets) has become a hot topic; it is a mixture of data analysis, data mining,

©2009 RALPH SNYDERMAN 1 Personalized Health Care: The Foundation of Rational Health Reform Ralph Snyderman, MD Chancellor Emeritus, Duke University James.

Precision Medicine A New Initiative. The Concept of Precision Medicine (PM) The prevention and treatment strategies that take individual variability into.

 Healthcare professionals who diagnose and treat individuals of all ages who have problems or health related conditions, illnesses, or injuries that.

Sage / DREAM Breast Cancer Prognosis Challenge The goal of the breast cancer prognosis challenge is to assess the accuracy of computational models designed.

Last Words DM 1. Mining Data Steams / Incremental Data Mining / Mining sensor data (e.g. modify a decision tree assuming that new examples arrive continuously,

Data Warehousing Lecture-30 What can Data Mining do? Virtual University of Pakistan Ahsan Abdullah Assoc. Prof. & Head Center for Agro-Informatics Research.

Visual Analytics of User Behavior Project Description: Analyze and predict user behavior in a virtual world to inform dynamic modifications to the environment.

Best Practices Driving High Performance Risk Measurement Barry Schachter Head, Enterprise Risk Management Caxton Associates LLC.

Leading the Biomedical Revolution in Precision Health: How Stanford Medicine is Developing the Next Generation of Health Care Annual Stanford Medicine.

Aiding Diagnosis of Normal Pressure Hydrocephalus with Enhanced Gait Feature Separability Shanshan Chen, Adam T. Barth, Maïté Brandt-Pearce, John Lach.

VIRTUAL INFORMATION SPACE for HEALTH CARE by APPLIED LOGIC LABORATORY.

Yannis Ioannidis MaDgIK Lab University of Athens & ATHENA Research Center.

Biomedical Informatics and Health. What is “Biomedical Informatics”?

Data Science Interview Questions 1.What do you mean by word Data Science? Data Science is the extraction of knowledge from large.

Real-time Monitoring and Mapping of Nitrogen Fusion of Data Science and Intelligent Sensor System Mingxuan Sun (Assistant Professor, Computer Science,

Expediting Precision Medicine Initiatives for Clinical Genomics and Pharma through the Use of Knowledge Automation and Analytics Presenters: Dr. Scott.

© 2016 Global Market Insights, Inc. USA. All Rights Reserved Fuel Cell Market size worth $25.5bn by 2024Low Power Wide Area Network.

Evidence-Based Medicine; Data Analytics

Illustration of how the diagnostic yield changes as the size of the gene panel (number of genes) increases. The general characteristics of panels of various.

Healthcare Science careers

NCT: Gaining Medical Insights and Enhancing Care for Cancer Patients with SAP HANA® Organization National Center for Tumor Diseases (NCT) Heidelberg, part.

Empower your Data Analyst

2 1 Assays Modules Features Study info Subject info Design Samples

An Artificial Intelligence Approach to Precision Oncology

KnowEnG: A SCALABLE KNOWLEDGE ENGINE FOR LARGE SCALE GENOMIC DATA

Contextual Intelligence as a Driver of Services Innovation

Prepared by: Mahmoud Rafeek Al-Farra

Business analytics Lessons from an undergraduate introductory course

GINGER.IO A digital health technology company working to build mental health innovation into healthcare With about 30 healthcare partnerships across the.

“Next Generation of Connected Health”

Dramatic Change in Data Review Handling with Analytical Tools

Population Information Integration, Analysis and Modeling

Introduction to TIMAN: Text Information Managemetn & Analysis

The Genomics of Cancer and Molecular Testing:

Journal of Visualized Experiments

Cognitive Search Industry Trends.

Science Fair Categories

Brooks Informatics Overview

Behavioral Sciences and Social Medicine

Science Fair Categories

Luke Do, Jessica Olmedo, Arely Romero, and Vianca Santana

Microsoft Azure Enables Big-Data-as-a-Service Applications for Industry and Government Use “Microsoft Azure is the most innovative and robust suite of.

Mitchell Schnall MD, PhD

From Data to Therapies Research in Xinghua Lu’s Lab

Preclinical Accelerators of Precision Medicine Todd R. Golub, M.D.

INNOvation in TRAINING BUSINESS ANALYSTS HAO HElEN Zhang UniVERSITY of ARIZONA

T H E P U B G P R O J E C T.

Modern Advances in Glucose Monitoring

Precision Medicine A New Era Hazem Assi American University of Beirut

Volume 155, Issue 6, Pages (December 2018)

Molecular prognostication of liver cancer: End of the beginning

Steven Schwager, Medidata Solutions & Cornell University

Case Study: Multi-System Migration to ENOVIA PLM

Patient Privacy and Medication Analytics Platform

Medical Informatics and Explainable AI

Computer Science and Engineering

UCLA Health Data Analytics Strategy

Using clinical trial data as real-world evidence

Precision medicine brings forth precision education

CPSA 4 Corners Initiative 2018

How Can Healthcare Analytics Drive Profits In Your Business?

Presentation transcript:

Data-Drive Analytics for Precision Medicine Clinical Pattern Extraction Insight Generation Personalized Intervention Diagnostics Lab Scalable Platform Preprocessing Med. Decision Support Genomic Precision Cohort Feature Engineering Sensor Behavior Profiling Diet Personalized Models Activities Feature Selection Patient Centric Measures Job Interpretable Insights Social Envir. ... Machine Learning Data Mining Visual Analytics Decision Science > 1m patients in the Precision medicine initiative ($130m) molecular, genomic, cellular, clinical, behavioral, physiological, environmental