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BrainX Community Live!

BRAINX COMMUNITY, a group of experts in machine learning, healthcare and innovation has grown to be 1400+ international member strong since its inception in May 2018.

Theme for the September 2019, session is “Opportunities in Artificial Intelligence and Radiomics for Precision Medicine”.

Presented by Dr. Pallavi Tiwari , Assistant Professor of Biomedical Engineering and the director of Brain Image Computing laboratory at Case Western Reserve University. She is also an associate member of the Case Comprehensive Cancer Center. 

In this talk, Dr. Tiwari will focus on her lab’s recent efforts in developing radiomic (extracting computerized sub-visual features from radiologic imaging), radiogenomic (identifying radiologic features associated with molecular phenotypes), and radiopathomic (radiologic features associated with pathologic phenotypes) techniques to capture insights into the underlying tumor biology as observed on non-invasive routine imaging. She will focus on clinical applications of this work for predicting disease outcome, recurrence, progression and response to therapy specifically in the context of brain tumors. She will also discuss current efforts in developing new radiomic features for post-treatment evaluation and predicting response to chemo-radiation treatment. Dr. Tiwari will conclude with a discussion on her lab’s recent findings in AI + experts, in the context of a clinically challenging problem of distinguishing benign radiation effects from tumor recurrence on routine MRI scans.

Dr. Tiwari got her PhD from Rutgers University in 2012.In 2016, she founded the Brain Image Computing lab at Case Western Reserve University. Her research interests lie in pattern recognition, data mining, and image analysis for automated personalized medicine solutions using radiological imaging in brain tumors and neurological disorders. 

Over the last 13 years, her research has been focused on developing novel image analysis methods for diagnosis, prognosis, and evaluating treatment response of different types of cancers (prostate, breast, lung) and neuro-imaging applications including brain tumors, epilepsy, and cancer pain. Her research has so far evolved into over 30 peer-reviewed publications, 35 peer-reviewed abstracts, and 7 patents (2 issued, 5 pending). 

In 2017, her work was recognized by Case Western as one of the most notable research works in the university. Her research has also been covered by various news outlets including Crains Cleveland, NSF Science Now, and Science Daily. She has received certification of commendation from the General Assembly of the State of Ohio and from Ohio Secretary of State for her work in brain tumors.  She has been a recipient of several scientific awards, most notably being named as one of 100 women achievers by Government of India for making a positive impact in the field of Science and Innovation.  In 2018, she was selected as one of Crain’s Business Cleveland Forty under 40.

Dr. Tiwari is currently leading a team of researchers on multiple projects using novel radiomics and image informatics for prognosis and treatment evaluation in adult and pediatric brain tumors, autism, as well as other neurological disorders. She has been an invited and plenary speaker on topics relating to radiomics and radiogenomics at forums including MICCAI, Society of Neuro-Oncology, SPIE, and radiology workshops throughout the country.  Her research is funded through the Department of Defense, Dana Foundation, state of Ohio, and Case Comprehensive Cancer Center. She also serves on various leadership capacities (i.e. associate editor, committee member, scientific reviewer) in the medical image informatics community.


No registration, no fees, refreshments provided and open invite to all!

BRAINX COMMUNITY LIVEPROGRAM                                                                        

September 23, 2019

Room number NA1-142

Cleveland Clinic, 9500 Euclid Avenue, Cleveland, Ohio

5:00-5:05 PM: BrainX Community live!

5:05-5:15 PM: Drivers Unplugged. Dr. Pallavi Tiwari

5:15-6:00 PM: Opportunities in Artificial Intelligence and Radiomics for Precision Medicine”: Dr. Pallavi Tiwari

6:00-6:30 PM: Networking session.




Ethical Principles Guiding the Use of AI in Healthcare


Read about guidelines on ethics for use of AI  in healthcare as developed by PATH (Partnership for Artificial Intelligence, Telemedicine and Robotics in Healthcare) and shared by Jonathan Linkous.





Data Empathy and AI (Part 1).The Need for a Patient Centric Analytics Ecosystem

Data Empathy and AI (Part 2).Legal Theory Disruption and Ethics

A two part article written by Kevin Michael Mooney, Esq.,Senior Director, Enterprise Data Governance,Cleveland Clinic.

It presents an excellent and comprehensive view point  on data management, artificial Intelligence applications and it's associated ethical and legal challenges.

Clarifying and detailing some of the ethical and legal principles, it's a must read to understand this  context of data management and AI in healthcare beyond building and implementing algorithms.


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

1300+ international members:Largest online community for machine learning in healthcare.

24+ countries.

15 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


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