AI technology and the future of “cancer” treatment, research finds, help reduce diagnosis time Help save patients’ lives faster.

We humans have been fighting cancer for a long time. This deadly disease was first recorded in ancient Egypt about 5,000 years ago, since then, researchers, medical professionals, and the patient’s caregivers have given their best. It has made great progress in understanding, diagnosing, treating and caring for this disease.

However, cancer remains an increasingly serious threat. The disease causes about 10 million deaths every year worldwide. And the World Health Organization (WHO) predicts that there will be more than 35 million new cancer cases in 2050, up 77% from the estimated 20 million cases in 2022.

Today, cancer treatment is very important all over the world. Modern technology has played an important role in pushing research forward faster. and helping to reduce costs in a remarkable way As a result, the situation in fighting this deadly disease has changed a lot.

Cloud technology has the advantage of being easily scalable. and the costs are not very high This allows health organizations and patients to deal with disease more effectively. From the onset of illness to recovery, AI (Artificial Intelligence) and ML (Machine Learning) technologies help us understand genetic information. Deeper medical information and imaging Analyze data quickly and with secure access to information on demand Researchers around the world can collaborate in real time. and exchange important information quickly In addition, remote patient monitoring systems and telemedicine also help patients to be more involved in the treatment process.

However, technology is not a miracle that will eliminate all cancers. Rather, it is a tool that helps researchers and medical staff work more efficiently. Technology enables research efficiency and better results. Making the diagnosis faster and more accurate. and help speed up the drug discovery and development process. It also increases access to services through remote treatment channels and clinical trials that cover more patient groups.

This research uses genome sequencing techniques to gain a deeper understanding of cancer. Cancer is a disease caused by abnormal, uncontrolled cell division. Most are due to some form of genetic variation. Therefore, cancer is considered a DNA disease When genes are changed Its nature changes. And as the cancer grows It continues to change, although each type of cancer has its own unique set of mutations. But in that same tumor Gene and cell mutations are also different.

Studying genetic diversity requires a lot of data. But data collection must be done carefully and securely to protect patient privacy. Then analyze and present the data in an easy-to-understand format so doctors can use it. Including use as a guide for treatment and new drug development.

The Cancer Genome Atlas project has collected data from over 20,000 tumor and comparable normal tissue samples from 11,328 cancer patients across 33 cancer types. A graphic presentation of the data shows how each type of cancer develops and spreads. Both stem cells create The genetic changes caused by various viruses and the communication processes within the body can be used to effectively treat infections. This project is part of the AWS Open Data Registry, helping researchers around the world access and expand their knowledge base.

Finding the genetic code of cancer with that information It is essential to analyze the DNA sequence of each patient in an efficient and cost-effective way. This is the goal of California-based Ultima Genomics. This company has created a new generation of DNA analysis tools that are faster and more economical. It uses AWS cloud services for analysis. This device can analyze the entire human genome for as little as $100. Just 10 years ago this analysis cost $1,000.

A new genome sequencing research technology created by Ultima Genomics. Helps detect cancer faster. Due to its low-cost genetic analysis methods, the Munich Leukemia Lab uses Amazon Elastic Compute Cloud (Amazon EC2) to process the genomics data. Processing time can be reduced from 20 hours to just 3 hours. Making the diagnosis faster and more accurate.

Usually, most patients are not diagnosed with cancer through extensive genetic testing. But it is often found by going to the doctor for an annual examination. or because they have other unusual symptoms that do not seem to be related to cancer. Therefore, doctors can see small signs on the images that may indicate cancer. Although this was not the main reason for the doctor’s visit at that time. This is considered to be one of the important ways that AI can help increase the chance of survival for cancer patients.

Michael Rivers, vice president of digital pathology at Roche Tissue Diagnostics, which has partnered with Ibex and AWS to bring AI-powered diagnostic tools to pathology labs through the Navify platform, said: Most cancer diagnosis still rests with a pathologist. tissue on a glass slide using a microscope. Digitizing these slides will allow us to apply AI image analysis to help diagnose and confirm treatment plans for patients.”

Michael explains that one of the most interesting ways AI can speed up the diagnostic process is to train the underlying model. (Basic Models: FMs) to be able to explore images on your own. “It is essential that AI explains its own processes easily for the solutions we are developing,” said Michael. We will have heat maps to tell medical experts how the AI ​​system is analyzing the images, but the final diagnosis will be up to the expert. “

Fighting cancer is not just about providing faster and more effective treatments. This is because cancer is spreading more and more. It is therefore equally important that everyone has access to treatment. And it is important to ensure that future treatments are developed with all cancer patients in mind.

in many remote areas of China There are experts in ultrasound. Very little (ultrasound) is used, making diagnosis difficult so Shangyiyun Company created “Dr. and send videos and ultrasound images to the cloud for medical experts to do further analysis using Dr. J helps breast cancer screening to be more accurate. and can find patients who need further treatment With AWS data processing and storage, Dr. J is able to provide efficient, accurate and sustainable screening services to institutions and users In addition, security standards rigorous data at AWS to support the adoption of Dr. J. It can be used worldwide with confidence

Hurone AI is using AI technology to address gaps in cancer care in sub-Saharan Africa. The main technology used is an AI prediction engine and a large-scale language model, or LLM, developed in the AWS cloud, which helps busy cancer specialists to comprehensively diagnose and support patients. even in remote areas that lack medical facilities. This will help develop more effective cancer treatments for everyone.

Expanding cancer care services to more areas across the country is an important way to help more patients access services. Another way to provide care services to patients is at home. This allows patients to receive treatment in a familiar environment. Makes you feel relaxed, motivated, and feel more in control of your life.

What is the challenge for the medical community in treating cancer? Everyone has different symptoms and physical conditions. Just like the genes in every cancer tumor are different. Using cloud technology in patient care This helps the treatment to meet and cover the special needs of each person more. Turn these challenges into healing strengths. In addition to making physical treatment more effective, this technology is also very beneficial to the mental health of patients. This is because it will help each patient to feel understood and that they are receiving close care according to their own unique situation and needs. Therefore, it not only makes physical treatment more targeted. But it also has a positive impact on patient experience and treatment outcomes.