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Honored and excited to have been chosen to be on the jury adjudicating the awards for the #DMA - Delhi Management Association awards for the Best Women entrepreneurs . Kudos to #DMAWEA23. Women's entrepreneurship should get a fillip by such activities that stimulate the eco system and serve as a role model for other budding entrepreneurs. Given the leadership Women CEOs of Indian orgin have shown, starting with Indira Nooyi, this ecosystem can only grow to ascending heights as the #indianeconomy continues its upward journey. Thanks to the Anuradha Sharma, Founder-CEO Fulki Communications, Mita Brahma and Chhavi Prabhakar, the organizing team, and, entrepreneurs who have submitted their applications. At a very minimum, any aspiring #womeninbusiness should listen in to the brilliant efforts by a large group of pioneers delivering innovation and excellence. Data on angel investments in the US clearly suggest an underweighting of investments in women entrepreneurs. Hopefully competitions/conference like these can be trail blazers for change. #womenandgirlsinscience #womeninfinance #womenandgirls #womenchangemakers #womenentrepreneurs

Data Integrity is key for both the advancement of research and for patients health #blockchaintechnology #blockchainhealthcare #dct #clinicaltrials #clinicaldevelopment https://lnkd.in/e7ZUmKwU

Cancer Care can be complex and particularly inaccessible to those who need it most. For patients that come from a disadvantaged background, taking advantage of cancer care becomes difficult and almost impossible. Factors like housing, literacy, disposable income and community can play a big role for them. We have to make cancer care more accessible through innovation. A big shout out to Jonathan Govette and Ty Vachon, M.D. for tackling this problem with Oatmeal Health. #access #healthequity #healthcareforall #bridgingthegap

Thrilled to share our latest research testing the efficacy of AI in healthcare for infants. (This post was NOT generated by AI) 😊   At HITLAB, our mission has always revolved around harnessing innovative technology to improve healthcare outcomes for all 8 billion people -around the world. Many thanks for the ongoing support for our work from the April Smith-Hirak of HHS, Stephen Konya from ONC, and Dr Mohamed Baby Baby from the UN, William Taranto from Merck, Vic Tandon of Blue Shield of California, Soram Patel of AstraZeneca, Zina Manji, M.S., PharmD of Ellume, Juan C Jimenez of AccurKardia, Rachel George MD, MBA of Salesforce, Kelly H. Zou, PhD, PStat, FASA of Viatris,  Olivier Rabenschlag of Chapter 3 Capital, Tim McCarthy of Pfizer, Norah Xiao of AstraZeneca, & many more. This work focused on a platform called Babbly, which has developed a technology for early language development in children.    Early detection of language delays can have a profound impact on a child's literacy skills and overall development. One critical indicator is missed babbling milestones, which can signal potential developmental issues. Infants who experience delays in babbling during their first year are at risk of having smaller vocabularies and delayed language development later on. Furthermore, a lack of babbling can serve as an early indicator of developmental disorders such as autism spectrum disorder or apraxia. Identifying these deviations early on is crucial for effective intervention and improved outcomes.    Our efficacy verification study with Babbly focused on independently validating their AI algorithm for classifying various infant vocalization patterns. To assess its accuracy, we used real-world recordings of infants aged 4-16 months, & compared the algorithm's predictions with annotations from 3 trained human observers.    I'm delighted to report that Babbly's algorithm demonstrated remarkable accuracy, achieving an impressive F-1 score of 0.91. This high level of accuracy was consistent across infants of different ages & genders, highlighting the algorithm's versatility throughout preverbal development stages.    For those interested in delving deeper into the study, you can access our comprehensive white paper here: https://lnkd.in/e5ADHFf7   In summary, this external study showcases the potential of Babbly's AI algorithm in early detection of developmental language delays in infants. By accurately identifying babbling pattern deviations, we can intervene earlier & provide clinicians with critical information, enhancing their ability to support healthy language development in early childhood.    A special thank you to the Babbly team Maryam Nabavi, Iva Brunec, PhD, Carla Margalef Bentabol, Andrew Crichton, Blair Fast, Kelly Schott, Sanjana Jadhav, Zilun Peng, including advisors Dr. Deryk Beal, Dr. Dina Kulik, & Talia Leszcz and partners Ella Seitz & Dr. Sheldon Elman for the terrific collaboration in this groundbreaking research!