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AI can predict pancreatic cancer three YEARS before it occurs, major Harvard study finds

AI can predict pancreatic cancer three YEARS before it occurs, major Harvard study finds
Published 2 years ago on May 10, 2023

Using medical records and information from previous scans, the AI was able to flag patients at a high risk of developing pancreatic cancer within the next three years with great accuracy.

There are currently no full-proof scans for pancreatic cancer, with doctors using a combination of CT scans, MRIs and other invasive procedures to diagnose it. This keeps many doctors away from recommending these screenings.

The study has doctors hopeful because pancreatic cancer is notoriously hard to spot, making it one of the deadliest forms of the disease, killing more than half of sufferers within five years of diagnosis.

Over time, they also hope these AI models will help them develop a reliable way to screen for pancreatic cancer — which already exists for other types of the disease. 

Unlike other cancers, there is no single way to screen for it and, in the early stages, it can cause mild symptoms that are often overlooked. 

'One of the most important decisions clinicians face day to day is who is at high risk for a disease, and who would benefit from further testing, which can also mean more invasive and more expensive procedures that carry their own risks,' Dr Chris Sander, a biologist at Harvard who contributed to the study, said.

'An AI tool that can zero in on those at highest risk for pancreatic cancer who stand to benefit most from further tests could go a long way toward improving clinical decision-making.'

The National Cancer Institute estimates 64,050 Americans will be diagnosed with pancreatic cancer this year, and it will be responsible for 50,550 deaths. 

The American Society of Clinical Oncology estimates that 56 percent of all people diagnosed with die from the disease.

If the cancer spreads to another part of the body — called metastasis — the survival rate falls to just three percent.

This makes finding a way to screen for pancreatic cancer early crucial, as any delay in treatment greatly increases a person's risk of death.

'Many types of cancer, especially those hard to identify and treat early, exert a disproportionate toll on patients, families and the healthcare system as a whole,' Dr Soren Brunak, a Danish study author, said. 

'AI-based screening is an opportunity to alter the trajectory of pancreatic cancer, an aggressive disease that is notoriously hard to diagnose early and treat promptly when the chances for success are highest.'

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Using medical records and information from previous scans, the AI was able to flag patients at a high risk of developing pancreatic cancer within the next three years with great accuracy.

There are currently no full-proof scans for pancreatic cancer, with doctors using a combination of CT scans, MRIs and other invasive procedures to diagnose it. This keeps many doctors away from recommending these screenings.

The study has doctors hopeful because pancreatic cancer is notoriously hard to spot, making it one of the deadliest forms of the disease, killing more than half of sufferers within five years of diagnosis.

Over time, they also hope these AI models will help them develop a reliable way to screen for pancreatic cancer — which already exists for other types of the disease. 

Unlike other cancers, there is no single way to screen for it and, in the early stages, it can cause mild symptoms that are often overlooked. 

'One of the most important decisions clinicians face day to day is who is at high risk for a disease, and who would benefit from further testing, which can also mean more invasive and more expensive procedures that carry their own risks,' Dr Chris Sander, a biologist at Harvard who contributed to the study, said.

'An AI tool that can zero in on those at highest risk for pancreatic cancer who stand to benefit most from further tests could go a long way toward improving clinical decision-making.'

The National Cancer Institute estimates 64,050 Americans will be diagnosed with pancreatic cancer this year, and it will be responsible for 50,550 deaths. 

The American Society of Clinical Oncology estimates that 56 percent of all people diagnosed with die from the disease.

If the cancer spreads to another part of the body — called metastasis — the survival rate falls to just three percent.

This makes finding a way to screen for pancreatic cancer early crucial, as any delay in treatment greatly increases a person's risk of death.

'Many types of cancer, especially those hard to identify and treat early, exert a disproportionate toll on patients, families and the healthcare system as a whole,' Dr Soren Brunak, a Danish study author, said. 

'AI-based screening is an opportunity to alter the trajectory of pancreatic cancer, an aggressive disease that is notoriously hard to diagnose early and treat promptly when the chances for success are highest.'

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