Daniella Castro is the co-founder and CTO of Huna, a Brazilian healthtech company utilizing artificial intelligence to make cancer screening accessible to all. With Huna, she has been recognized with five awards, including the esteemed Bayer Foundation Women Empowerment Award. Daniella began her career at Petrobras as the Coordinator of International Reserves. She later transitioned to artificial intelligence at Kunumi, where she founded the Research area and played a key role in creating the Laboratory of Artificial Intelligence (LIA) at UFMG. Daniella has contributed to over 15 scientific papers during her academic journey. She holds a master's in Research Operations from USP and a PhD in Artificial Intelligence from UFMG. (Source: Lattes Curriculum)
| Articles published in Pesquisa para Inovação FAPESP about the researcher: |
| Artificial intelligence helps analyze blood work to detect breast cancer |
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Machine Learning (ML) has emerged as an essential tool for identifying complex patterns in blood tests, enabling the transformation of non-specific tests into accurate tools for diagnosing multiple diseases. In this context, we propose the integration of several routine blood markers into a robust panel aided by Artificial Intelligence (AI) to assess the risk of breast cancer in the age g…
In Brazil, women over 50 years of age have access to a biannual mammogram through the SUS, but 77% of Brazilian municipalities do not have mammography equipment. Furthermore, the screening program does not accommodate younger women or men - who are the group at most significant risk for more severe or late-diagnosed diseases. In this scenario, HUNA proposes the creation of a breast cancer…
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