BRAINX COMMUNITY LIVE! November 2019 event.

 BRAINX COMMUNITY, a group of experts in machine learning, healthcare and innovation has grown to be 1500+ international member strong since its inception in May 2018. 

Dr. Aziz Nazha will discuss current state of the art machine learning and deep learning model applications in healthcare. He will also discuss Cleveland Clinic Center for Clinical Artificial Intelligence initiatives and current ongoing projects. 

Dr. Nazha is the director of the Cleveland Clinic Center of Clinical Artificial Intelligence and an Associate Medical Director at Enterprise Analytics. He is also an Assistant Professor of Medicine at Lerner College of Medicine/Case Western Reserve University and an Associate Staff at the Department of Hematology and Medical Oncology at Taussig Cancer Institute, Cleveland Clinic. Dr.Nazha completed his Hematology and Medical Oncology fellowship at Cleveland Clinic and a Leukemia Fellowship at The University of Texas MD Anderson Cancer Center where he also served as an instructor in the Leukemia Department. Dr. Nazha is nationally and internationally recognized expert in treating patients with leukemia. His research focuses on using artificial intelligence, machine learning, and deep learning to translate genomic and complex healthcare data into useful clinical tools that can improve patient outcomes. He is also a programmer and has developed multiple machine learning and deep learning models to improve the diagnosis, prognosis, and treatment options for patients with leukemia. 

Dr. Nazha has published more than 80 peer-reviewed manuscripts, review articles, and book chapters. He is on the editorial board of Journal of Clinical Oncology Clinical Informatics, Annals of Hematology & Oncology, Cancer Biology & Medicine, and Cancer Treatment and Research Communications. 

For more details, BrainX Community platform is available through https://www.brainxai.org and LinkedIn group called BrainX Community. No registration, no fees, refreshments provided and open invite to all! Please feel free to share with friends and colleagues. 

BRAINX COMMUNITY LIVE ! PROGRAM 

November 18, 2019 

Room number NA1-138 

Cleveland Clinic, 9500 Euclid Avenue, Cleveland, Ohio 

5:00-5:05 PM: BrainX Community live! 

5:05-5:15 PM: Drivers Unplugged. Dr. Aziz Nazha 

5:15-6:15 PM: “Current state of the art machine learning and deep learning model applications in healthcare.” Dr. Aziz Nazha 

6:15-6:30 PM: Networking session. 

 

 

BrainX Community Europe Launch

Learn more about our growing community expanding into Europe thanks to Tomasz ROGULA, MD, PhD, FACS , Klaudia PRONIEWSKA, PhD, Eng. , Aneta MYSZKA, MD ,Jacek CYWINSKI, MD  and Nasit VURGUN, MD.

Learn more about our efforts and join us in supporting the growth of this community.Growing organically with a common purpose, vision and mission to scientifically promote knowledge expansion in the field of machine learning applications for  healthcare.

 

A guide to getting started with machine learning in healthcare

A simple but exclusive 14 step guide compiled by members of BrainX Community to help get started with machine learning in healthcare.

Learning the basic programming skills, resources needed to get started on a project and more are all outlined in this simple guide.

Most importantly, it's a primer in getting bilingual and fostering collaboration between healthcare professionals and machine learning experts.

BrainX Community 

Facts and Figures

1500+ international members:Largest online community for machine learning in healthcare.

24+ countries.

16 Live monthly monthly sessions since May 2018.

Largest repository of data sources links.

Single place for curated  machine learning in healthcare scientific articles.

Diversity in membership including Medical Students, Computer Science Graduate and Postgraduate Students, Physicians, Data Scientists, AI/ML Academicians, University Professors, Inventors, Innovation Managers, Entrepreneurs and even High School Students! 

One  vision

Machine Learning in healthcare for good.

One mission

Connect, learn and share scientific knowledge about applications of Machine Learning in healthcare.

One ask

Connect and Contribute