Cognitive Computing in Healthcare


Aditya Pai
Associate Partner, Healthcare and Life Sciences - IBM Watson Health

Thursday, 6 October 2016 -
2:00pm to 3:00pm
Cancer Research Institute Conference Room 100/01

NBThis is a second talk on the same day as the previously announced morning talk. Details of the morning event will be distributed soon.

The healthcare and life science industry faces a barrage of data. Over 1100 Terabytes of data will be generated by each individual which includes genomic, clinical and exogenous data.
Cognitive computing is a new era of computing where the above complexity is addressed with new capabilities in natural language processing and machine learning.

For a cancer patient, Watson for Oncology can also aid an oncologist by providing patient specific clinical decision support around a specific cancer treatment, an overall timeline
for such treatment and information around drug dosage. Watson can extract relevant information from the patient´s electronic record including unstructured text from medical reports such as
pathology reports making it personalized. Precision medicine will thus benefit from cognitive computing and will provide new value to clinicians, researchers, and pathologists. Watson
Health capabilities extend into areas such as clinical decision support, genomics, clinical trial matching, drug discovery, medical imaging, the use of real world evidence.

Genomic data is an important component of a patient´s health record as it can help in the prediction, diagnosis and treatment of certain diseases. However, as our knowledge of the
genome increases and the need to associate genotype with phenotype increases, the complexity increases. Coupled with clinical and exogenous data, the ability to process such data is beyond
human cognition.