Friday , May 27 2022

How AI Helps Breast Cancer History – To – TechCrunch


Each October for the last four decades, ast has been helping to raise awareness of cancer, a common cancer spread on Earth’s soil – with an estimated three quarters of lives each year.

Despite the recorded cases leading to ancient Egypt, breast cancer was considered an “undeniable” condition for thousands of years. Women were expected to suffer and suffer “dignity.”

This notoriety is known to the unknown, breast cancer, in the case of relatively unreadable disease, decades ago. up to. For much of the past century, a woman who has been diagnosed with breast cancer will be offered radiation therapy and / or surgery – often radical surgery, to benefit her a little – while treating other ovarian cancer.

Breast cancer rates have changed dramatically from the 1930s to the 1970s, until the combined efforts of women and women’s liberation groups to breast cancer studies and treatment in men’s-dominated hospitals and research institutes. Say. Treatment turned into a race.

In the 1970s, a woman diagnosed with breast cancer had approximately 40% chance of surviving for the next 10 years. Today, it is almost certainly possible, thanks to new medicines, the latest screening techniques, and vitreous and effective surgery.

The key change for this change is the emphasis on preliminary assessment. Breast Why breast cancer is diagnosed, it is easier to treat. Artificial intelligence is playing an increasingly important role in breast cancer. This year, the UK National Health Service (NHS) announced a study on how AI breast cancer screening can be done there. Although human doctors need to, therefore, not replace, assist human doctors, this will help reduce the shortage of radiographers – more than 2,000 yds are needed due to the infectious disease in the NHS backup log scan.

Beginners are also using AI to address this shortage. Kheiron Medical Technologies in the UK intends to use AI to screen half a million women for screen cancer. Spain’s Blue Box is a tool that can detect breast cancer from the urine patterns there. India’s evolution is working on a low-cost tool that can help screen a large number of women in rural and suburban and semi-urban areas.

But to improve the outcome it is important to count patients at risk of relapse. Approximately one in 10 breast cancer patients will undergo psoriasis after their initial treatment, reducing their chance of survival.

Unpacking their skin is historically challenging, but my team, working at Gustav Rossi, a French cancer hospital, developed an AI tool that could put 8 of 10 patients at risk of spot injury. General Chat Chat Lounge AI helps patients get the treatment they need, while protecting low-risk patients from repeated, annoying checkups. Meanwhile, pharmaceutical companies accelerate breast cancer drug trials by rapidly breastfeeding high-risk patients.

The confidentiality of the patient’s data may constitute an understandable obstacle to rapid research. Hospitals are cautious about sending data off-site, and no pharmaceutical company wants to share valuable data with competitors. But AI is helping to solve these problems, allowing faster, safer and cheaper new treatments.

Federal education, a new form of AI that trains data at many institutions without having to leave data hospitals, is being used in Europe to give researchers access to important, up-to-date, inaccessible data.

We will also use AI to strengthen our understanding that aggressive and aggressive forms of breast and breast cancer are resistant to certain medications, helping us develop new, appropriate medicines that make the difference. And the difference between tumor cells is better than chemotherapy.

While the impact of AI is increasing, the key to improving results is a recognition that health care is primarily a human endeavor. No algorithm will ever comfort a patient in their darkest moments, and no machine will ever be able to create and affect the flexibility that every patient should have to overcome their illness.

I and every doctor a doctor knows that treating a disease is as much about understanding a patient as it is about understanding their burden. Clinician empathy is related to patient satisfaction and low burden, encouraging a patient to continue a challenging course of treatment. Thankfully, AI technology that is increasingly helping doctors to design and empower breast cancer treatment.

Breast cancer is no longer “unthinkable” for the millions of people who diagnose it every year. The sea of ​​pink ribbons that inform the beginning of October indicates how far we have come in our war against our old enemy – the one we are now defeating. We can never completely eliminate breast cancer. But with AI being able to diagnose patients early and enable the rapid development of treatment, it is possible that in a few decades, we may no longer need breast cancer awareness month.

Source link