About us
Her Health AI is committed to revolutionizing women’s health, particularly in the realm of endometriosis diagnosis and treatment. We recognize the profound impact of undiagnosed endometriosis, affecting millions of women globally. Our mission is to address this issue by developing innovative AI-driven solutions that enable early detection, reduce the need for invasive surgeries, and improve patient outcomes.
Endometriosis
Silent disease
Undiagnosed endometriosis, affecting 1 out of 10 women in the U.S. and 200 million globally.
Debilitating
This debilitating condition ranks among the top 10 most excruciating diseases.
Delay
Diagnosis typically takes seven to eleven years through invasive surgery.
Challenge
Endometriosis isn't just a health issue; it's a societal and economic challenge.
AI for a non-invasive approach
Clinical data
Endometriosis disease stage prediction based on Clinical and Laboratory Data.
Imaging
Endometriosis Imaging-Based Diagnostic support and Risk Calculator.
Medical Team
Dr. Maurício Simões Abrao
A globally recognized leader in minimally invasive gynecological surgery, former President of both the AAGL and the World Congress on Endometriosis, and the author of over 200 scientific publications and seven medical books focused on women’s health.
Dr. Marina de Paula Andres
A leading endometriosis researcher and physician at Hospital das Clínicas, USP, whose doctoral research focused on machine learning applications in endometriosis, advancing AI-driven diagnostics for better patient outcomes. Dr. Andres has published numerous scientific articles on endometriosis.
Dr. Henrique Abrao
A gynecologist, gynecological surgeon, and one of the leading references in Neuropelveology in Brazil. With his medical and gynecology training in São Paulo and advanced training in minimally invasive surgery and a master's degree in France, he has dedicated the past years to specializing in Neuropelveology and introducing a new approach to treat chronic pain in the pelvic region.
Cinthia Callegari Barbisan
A globally recognized expert in endometriosis imaging and AI-assisted diagnostics, serving as the Operational Coordinator of the Radiology and Imaging Fellowship at Beneficência Portuguesa, São Paulo.
Engineering Team
Prof. Bruno Gomes
Scientific Researcher at Datalife and healthcare executive, specializing in the development of AI algorithms for healthcare and affiliated with MIT. He has been a Neuroscientist and Research Professor at the Federal University of Pará since 2009, focusing on Neurophysiology and Computational Neuroscience.
Arthur Castro
Co-Founder of Datalife AI, specializing in AI product development within the medical sector. Previously, he was a C-level executive at Data H Artificial Intelligence, an AI venture builder and consulting firm based in Canada and Brazil.
Arthur Pedro Martins Neto
A data science and artificial intelligence enthusiast with a background in genetics, bioinformatics, and computational biology from the Federal University of Pará. He holds certifications in Machine Learning and Deep Learning from Stanford and NVIDIA, respectively.
Dr. João Marcos Guimarães
CEO of Datalife and Medical Advisor, overseeing AI product development in the medical sector. He also serves as ICU Medical Coordinator at Santa Casa, SP, with specialized training in Family Health at the Federal University of São Paulo, Brazil.
Anderson Viana
Holds a Bachelor's in Information Systems from the Federal University of Pará, an MBA in People Management, and is currently pursuing a Master's in Applied Computing through the Graduate Program in Electrical Engineering. Experienced in software engineering, development, management, and ICT infrastructure. Works as an IT Analyst at the Federal Rural University of the Amazon and is a member of research groups in computational biology and neurophysiology at UFPA.
Clarisse Rufino
Data scientist at Her Health AI developing cutting-edge machine learning models for endometriosis diagnosis. Engineer from Brazil's prestigious Military Institute of Engineering (IME), bringing a strong mathematical foundation to AI applications in healthcare. Published researcher in computational methods with expertise in data processing and robotics.
Arthur Gonsales, MSc
A seasoned researcher in computational neuroscience and AI, with expertise in digital signal processing, medical imaging, and brain decoding. He has applied machine learning to biological time-series data across academic, industry, and government projects, and is passionate about AI-assisted diagnosis and neuromorphic computing. Arthur holds an MS in Neuroscience and is currently pursuing a PhD in Medical Neuroscience at UNICAMP.
Legal & Finance Team
João Bosco Paulo Carneiro, CFC
Owner of Pro Result Gestão Empresarial, a consultancy firm specializing in financial and managerial services. Carneiro brings expertise in accounting, taxation, labor and social security, institutional consulting, auditing, due diligence, and business assessments. He leads a team focused on delivering strategic solutions for companies navigating today’s complex economic landscape.
Cory Loper, CFO
A leader in the finance and business industry with over 15 years of experience in banking and consulting, and the founder of Loper Consulting. He previously held leadership roles at JPMorgan Chase and Wells Fargo, earning national recognition for performance.
Roberto Belluzzo, OAB
Bachelor of Law from the Universidade de São Paulo (1996), he has solid professional experience and expertise in M&A, Corporate Law, Banking Law, Capital Markets and Real Estate Law. Specialized in Corporate Law from Pontifícia Universidade Católica de São Paulo – PUCSP (1999), he also attended the LLM in Financial Market dictated by IBMEC São Paulo (2004).
Akifa Khattak, JD, MHA, MS Biotech
A healthcare attorney and healthcare executive from Cornell and Johns Hopkins, she is a published author in legal and healthcare textbooks and articles, guest law professor, and serves as a women’s health advocate doing bipartisan lobbying to raise awareness stemming from her own rare endometriosis case.
Awards
