Biotechnological Products, Leading with equity
Next-Gen Diagnosis Meets Community Care
Early Diagnosis, Equitable Futures
Leading the charge for a healthier, more equitable future through cutting-edge diagnostics and proactive advocacy.
M Y M I S S I O N
To transform global healthcare and education by championing equity, policy reform, and community-driven solutions through bridging science, service, and humanity to empower marginalized voices and create lasting impact.
ABOUT ME
I'm Danya Sri Anantha Prakash, a junior at California High School, driven by a profound commitment to global health equity. My passion lies in combining scientific innovation with dedicated community advocacy to make a tangible difference in healthcare access.
My Journey involves:
I n n o v a t e .
A d v o c a t e .
E m p o w e r .
Media Coverage
Making Headlines: Amplifying Voices, Driving Change
I have been featured across local, national, and international media outlets for my work as a researcher, innovator, and nonprofit founder. From advancing autism advocacy through Humanities in Focus, to presenting breakthroughs in triple-negative breast cancer research and AI-driven diagnostics, my projects have been highlighted by journalists, organizations, and publications worldwide. These features underscore my commitment to using science, technology, and advocacy to create meaningful, real-world impact.
My Story
Every effort I take has a meaning and a mission. As a youth innovator and advocate, I hope to be a voice for change, bridging innovation and advocacy to create a lasting, inclusive impact. As part of a generation driven by purpose, I hope to amplify youth voices and inspire meaningful change in every space I step into
Media Coverages
Awards
Humanities in Focus
I founded Humanities in Focus in my sophomore year of high school, in January 2024, as a youth-driven nonprofit dedicated to supporting children with autism through education, advocacy, and community engagement.
Since its founding, Humanities in Focus has:
My Research
AI-Powered Histology: Enhancing Mutation Detection for Early Diagnosis
Accurate genetic mutation detection is critical in diagnosing and treating diseases but in many rural and underserved clinics, access to advanced pathology tools is limited especially in rural and underserved areas. This creates delays, misdiagnoses, and barriers to timely care.
To solve this, I co-created this system to bring advanced medical technology to underserved and rural clinics around the world. The system uses deep learning, specifically YOLOv8, an object detection model, trained on a custom dataset of histological (tissue) images. It analyzes tissue slides to spot subtle patterns that may indicate genetic mutations linked to diseases. To boost accuracy, the model combines YOLOv8 with a hybrid approach that uses SSIM (Structural Similarity Index Measure) to find the closest visual matches in its dataset, and KNN (K-Nearest Neighbors) to classify the results.
Our Results:
This hybrid pipeline makes the tool about 60% faster and more accurate than traditional pathology methods. It has already been deployed in hospitals and universities across two continents, where it has supported the diagnosis of over 250 patients. Physicians have used the tool especially in clinics where diagnostic equipment is limited.
Our goal is to make precision diagnostics more affordable and scalable, so that no patient is left behind due to geography or lack of resources.
