- Breaking down silos and establishing a linkable data infrastructure to link data at the patient level
- Ensuring workflow clarity and bridging the gap between AI/ML specialists and clinical development teams
- Designing more representative and equitable clinical trials, improving site identification and improvement, and enhance operational efficiencies
- Effectively designing trials for data integration in preparation for engagements such as NDAs/SNDA, DSMBs, pre-NDA, Advisory Boards, and Regulatory Interaction
- Enabling a new level
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/headshot_88.jpg?itok=bjpK40uf&c=82d9cd438917d9ca166bddaed40f8ec2)
Murthy Devarakonda
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/madhavan-large.jpg?itok=DGG7U9CU&c=2e507e159f3a5f6e44cb2cbbcf526bed)
Subha Madhavan
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/mariann_micsinai-balan.jpg?itok=1fDnZj6z&c=9698512b8323863feb58387d5a16c283)
Mariann Micsinai-Balan
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/tala_headshot.jpeg?itok=DMHI5-Oy&c=dfb74e32f0b8a091bc0d2dec9006de6d)