Cancer diagnosis and treatment
We are developing an AI application to assist Oncologists by using deep learning for AI diagnosis and treatment, thus improving the workflow and saving time and money.
Get in touch for further information or our pitch deck.
Our Product
Publications
How this helps patients and the public
Our first peer-reviewed paper presents a new AI model designed to help detect lung cancer earlier. The model analyses CT scans, highlights small lung nodules that may be cancerous, and provides additional information to support clinical decisions. Early and accurate detection is one of the strongest predictors of survival, and tools like this aim to support clinicians by spotting changes that are easy to miss. The research shows promising results and demonstrates how AI can assist doctors in giving patients faster, more reliable answers.
What this means for clinicians
This publication introduces a multi-task deep learning framework capable of both nodule detection and diagnostic characterisation using lung CT imaging. The model is designed to streamline radiology workflows by reducing false negatives, improving consistency, and offering clinically interpretable outputs such as visual heat-maps of regions of interest. While not a replacement for radiologists, the system has the potential to act as a second-reader support tool, strengthening diagnostic confidence and reducing reporting delays.
Why this matters for partners and investors
Our first published paper represents a major scientific validation milestone for Astronomical AI. The research demonstrates the feasibility of an integrated, multi-task AI model that accurately identifies lung nodules and provides diagnostic cues directly from CT imaging. This supports our wider roadmap of building end-to-end AI tools for lung cancer diagnosis and treatment planning. Peer-reviewed publication strengthens our credibility with clinical partners, accelerates regulatory progress, and positions us competitively within a rapidly expanding market for AI-driven oncology solutions.
2025 – LungDetectNet: a multi-task deep learning framework with enhanced detection and descriptive capabilities, published on ScienceDirect.
Read the paper: https://www.sciencedirect.com/science/article/pii/S1746809425016696
Other Products
Culturally Sensitive AI Therapist Training Tool
We have developed a generative AI prototype to support trainee therapists in recognising and responding to issues of race, culture, and identity in the therapy room. By drawing on real anonymised stories from racialised communities, the tool creates realistic training scenarios that centre lived experience and promote culturally attuned, ethical therapeutic practice.
Beyond the Colonial Mind GPT
We configured a GPT with the intention of curating resources and material created by Black and Brown thinkers, writers, and therapists. These voices are too often excluded from mainstream discourse, or worse, their work is scraped, extracted, and fed into algorithms without acknowledgment, consent, or compensation. The GPT draws from both societal and therapeutic lenses, centring the depth and breadth of perspectives that are frequently overlooked or silenced.
Our Team
We started our company in May 2019 and are looking to expand. We have a big focus on diversity, equality and inclusion. If you’d like to join us please get in touch.
Femma Ashraf
Renowned Artificial Intelligence expert with over 15 years of industry experience as technology innovator and diversity champion.
Adam Ashraf
A highly scientific trained pharmacist who is a people person and a driven seller, with experience in medicine and care.
Jenif D Souza W S
Software Developer with a Masters in Data Science and AI, specialising in AI-Driven healthcare solution.
Bhavesh Kharat
Bhavesh is a Developer with a background in Data Science and AI. Has a keen interest in coding, gaming and cricket.
Zane Ashraf
Zane is a Psychology graduate working in the mental health industry. He is a social media whizz and has a passion for making a difference.
Ollie Sweetman
Information Designer who has worked in advertising and with prosecution on complex fraud cases.
Daniya Malik
An impact driven and entrepreneurial scientist with experience in the pharmaceutical industry delivering impactful patient centred solutions focussed on innovation.
Amir Hajiyavand
An assistant professor at the University of Birmingham and medical technologist. Amir’s research focuses predominantly on developing medical technologies using robotics and applied Artificial Intelligence
Shazad Ashraf
NHS consultant with an interest in cancer pathways. Underwent surgical training and PhD/DPhil in Oxford. Has a deep understanding of the importance of AI in medicine.
Co-Investment with University of Birmingham
We are collaborating with the University of Birmingham Engineering Department. We will be working alongside the University and a PhD student to ensure our product is evidence based and we are able to undertake clinical studies.
Our Commitment to Ethical AI
At Astronomical AI, we believe that building impactful technology begins with building just technology. Ethical design isn’t an afterthought, it’s embedded from the ground up. We are guided by a multidisciplinary Ethics Advisory Board
What We Are Seeking
We are looking for investment as well as amazing people to join our team to help us develop the product and grow as a company.
Invest in Astronomical AI
We are seeking investment in our company that will allow us to build and scale up the product, as well as helping us expand as a company. In exchange for investment we will offer equity in the company. If you are interested in investing, please get in touch via the button below and we can send across our pitch deck and set up a discussion.
Register an interest
We’re excited to introduce our latest innovation, currently in the prototype phase, and we invite you to be among the first to explore its potential! By registering your interest, you’ll get exclusive updates and early access to our product, helping us refine and enhance our offering. Join us on this journey to shape the future — your feedback is invaluable as we strive to bring something truly unique to the market. Sign up now and be part of the development of a game-changing product!
Join the Astronomical AI Team
We are growing! If you’d like to be a part of the team please get in touch via the button below if you’re interested in joining us.
Blog Posts
- Parliamentary Round Table Discussion about AI and Inclusivity
- New Scientist CultureLab: Meredith Broussard on trusting Artificial Intelligence
- AI detecting breast cancer 4 years before it developed
- Prototype Image Processing
- Being a Brown Female Founder (Part 5)
- Being a Brown Female Founder (Part 4)
- Being a Brown Female Founder (Part 3)
- Being a Brown Female Founder (Part 2)
- Being a Brown Female Founder (Part 1)
- Cancer Delays in the NHS