Proscia is developing AI tools to improve cancer diagnosis

For patients receiving medical care for cancer patients, a diagnosis marks the beginning of their journey. Prussiaa company based in downtown, is on a mission to change the way the world practices pathology — which is at the heart of making diagnoses — using digitalization and artificial intelligence.

“At Proscia, we work to help pathologists improve cancer prognosis so they can speed up response times and get the best outcomes for patients,” Shawn GrollonPrincipal Investigator for Artificial Intelligence at Proscia.

The company’s products include ConcentricIts own digital pathology platformAnd the A variety of artificial intelligence tools. In October 2021, Proscia The results of the study were released Which checked the technology it supports Dermay. * Performed in Thomas Jefferson University And the University of FloridaThe study confirmed that Proscia’s artificial intelligence has identified melanoma, the deadliest form of skin cancer, with a high degree of accuracy.

Proscia’s AI team is divided between its engineering team and its research team. Grullon leads the research team, developing the strategy that informs engineers’ development of Proscia’s AI tools.

Grullon, who has a background of 12 years in particle physics research, joined Proscia in March 2021. What attracted him to Fast-growing, entrepreneurial powered a company? He said one main thing that came to mind – the mission.

Technical He spoke with Grolon about his career path, current role, and implications for the use of AI in healthcare. (Spoiler: He’s a pro-AI.)

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First, how did you get started in AI?

Sean Grolon. (photo courtesy)

I fell into artificial intelligence by chance. I originally moved to Philadelphia to become a physics professor. I have a Ph.D. In particle physics, which is a very abstract view of physics that is just trying to understand what the universe is made of. After that, I decided that I didn’t want to be in academia anymore for a variety of reasons, but I wanted to stay in Philly. I was fortunate because around that time, the field of artificial intelligence in the life sciences and healthcare began to emerge.

How do you move from physics to artificial intelligence?

Much of the mathematics behind AI and its algorithms is similar to the mathematics that drives many applications of physics. The paradox of particle physics is that to study really small things, you have to build really big things, and the really big things that you build collect a lot of data. Therefore, I have some experience with machine learning and various data algorithms from my academic career in Physics.

I read the research papers for more background information, and also filled in some of my physics work so I could use it as an example to future employers when I was first applying for jobs in this field.

Tell me more about the AI ​​research team at Proscia.

Now, I have four live reports. We are using Agile to work, and I would like to give them space to complete their projects. We stay in touch with team situations daily for 15 minutes and every two weeks.

As their manager, I believe in empowering my team. In the entrepreneurial spirit of Proscia, I would like to encourage everyone on the team to have a sense of ownership of the company and the direction of the company. They’re not working for me, are they? We are working collectively to support this mission.

As someone who works in this space every day, what does AI in healthcare mean to you?

When you talk about artificial intelligence in healthcare, there is the perception that robotic doctors are replacing real doctors and there is fear of what happens in science fiction movies. But the truth is, AI is here to help doctors. Indeed, there is a shortage of doctors, and artificial intelligence can enable them to focus their time on the places that matter most.

This is especially true when it comes to pathologists. Pathologists are really important because they’re the people who look at the biopsy to determine if it’s cancerous or not, but the population has been steadily declining for years. AI can help them work more efficiently, and time is of the essence, especially when it comes to cancer.

It’s not a direct comparison, but it’s similar to the way Google Maps makes you more efficient at finding directions to get from home to work. This is more efficient than using a printed map, isn’t it? That’s what we do, but instead we help pathologists to be more efficient in the interest of patient care. This is one of our main goals at Proscia.

* DermAI is for research use only.

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