If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
QuantX recently became the first-ever computer-aided breast cancer diagnosis system cleared by the FDA for use in radiology, but it's not putting radiologists out of a job any time soon. "Radiology is the backbone of diagnosing many diseases today," said Jeffrey Aronin, chairman and CEO of Paragon Biosciences. "We believe the future is radiologists with technology." The combination of humans and machines apparently works really well. In a clinical study, QuantX helped radiologists interpret MRIs, noting the differences between cancerous and noncancerous breast lesions.
A new portable device that utilizes artificial intelligence (AI) and biosensors can rapidly detect if cancer cells thrive after chemotherapy treatment. A team of researchers at Rutgers University has designed a new portable device that is up to 95.9 percent effective and accurate in counting living cancer cells when they pass through certain electrodes. This way, doctors can see if the targeted chemotherapy treatment was effective. Published in the journal Microsystems & Nanoengineering, the study aims to devise a new and simple method to rapidly assess drug efficacy in targeted chemotherapy cancer therapy, where anticancer drugs are conjugated to antibodies that target surface markers on cancer cells. Cancer continues to be one of the leading causes of mortality and death across the globe.
On July 15, 2019 Paige, the leader in computational pathology focused on building artificial intelligence (AI) to transform the clinical diagnosis and treatment of cancer, reported the publication of an article in Nature Medicine, a leading monthly journal publishing original peer-reviewed research in all areas of medicine, describing an AI system for computational pathology that achieves clinical-grade accuracy levels (Press release, Paige AI, JUL 15, 2019, View Source [SID1234537535]). The paper provides further scientific evidence that pathologists' work in diagnosing and treating cancer can be complemented and aided through the deployment of computational decision-support systems to improve patient care. NEW REPORT: Immuno-Oncology Drug Development: Analytical Tool Immuno-Oncology Drug Development: Analytical Tool is the most up to date and comprehensive commercial pipeline review and competitive assessment available on this hot and fast moving area in oncology. This unique product is truly the only one of its kind and is designed to give you a competitive edge in your I-O drug intelligence. Covers more than 1204 companies plus partners who are today developing 3691 I-O drugs in cancer across 617 different targets.
Scientists at Okayama University in Japan have developed an artificial intelligence (AI)-based endoscopic diagnosis system for the early identification of gastric cancer. Early-stage gastric cancer can be treated using surgical gastrectomy procedures and endoscopic surgery (ESD), which can save the stomach. The use of endoscopy treatment or surgery is decided based the depth of cancer within the stomach wall. The treatment plan is decided after analysis of endoscopic images, said the researchers. To help in early detection of the cancer, the team developed a prototype of the AI endoscope using GoogLeNet to match purpose via the image identification capability of Convolutional Neural Network (CNN) published by Google on the MATLAB numerical analysis software.
The use of artificial intelligence and machine learning is almost commonplace in the biotech and pharma industry as multiple companies are harnessing the power to aid in drug discovery and development. This week more companies have announced advancements in their AI programming. This morning, San Francisco-based Notable Labs announced it secured $40 million in a Series B funding round to use its artificial intelligence platform to advance cancer drug development. The company's approach is aimed at predicting which types of patients are most likely to respond to a drug in as little as five days. The process is designed to help physicians make more informed decisions about which clinical trials will be effective with patients and can also benefit the likelihood of a trial's success by matching the right patients to the right trial.
More people around the world are being diagnosed with cancer every year. Thankfully, researchers and clinicians continue to devise ever more effective and sophisticated techniques to combat the disease, resulting in better patient outcomes and improved survival rates for most forms of cancer. But both of these important trends have created a data challenge in the clinic: how to collect, process and analyse increasing amounts of data to extract the useful information that will deliver the most effective treatment plans and the best outcomes for patients. Artificial intelligence is emerging as a vital tool to tackle this data deluge. Using computer algorithms to search for important signals in the noise can reduce treatment times, improve the quality of care, and make the best use of valuable resources.
As we all know, finding out you have any form of terminal illness is a scary prospect. It may sometimes seem difficult to be positive minded & find a way to get through it. Nowadays, technology is evolving rapidly, and the help and development of new technology in treatment is helping people not only live longer but determine the most effective way to treat their illness. There are some crazy but amazing technologies out there that help medical professionals monitor and prevent ill health. MC10 develops a Bio stamp that is'thinner than a plaster', which can monitor temperature, sense any movement and heart rate – all these things are especially important when it comes to our health, all this data can then be transmitted wirelessly.
The Union Health Ministry is working towards using Artificial Intelligence (AI) in a safe and effective way in public health. Union Health Minister Harsh Vardhan said in Lok Sabha on July 12 that to address gaps in India's AI ecosystem and realise its economic impact, the central government has prioritised building AI technology capabilities. "The potential of AI in public health is being explored in our country. The Ministry of Health and Family Welfare (MoHFW) is working towards using AI in a safe and effective way in public health in India," he said during Question Hour. Mr. Vardhan said a few of the initiatives undertaken by the central government to use AI in public health are Imaging Biobank for cancer, for which the NITI Aayog with Department of Bio-Technology (DBT) aims to build a database of cancer-related radiology and pathology images of more than 20,000 profiles of cancer patients with focus on major cancers prevalent in India.
New Cleveland Clinic-led research shows that artificial intelligence (AI) can use medical scans and health records to personalize the dose of radiation therapy used to treat cancer patients. Published June 27 in The Lancet Digital Health, the research team developed an AI framework based on patient computerized tomography (CT) scans and electronic health records. This new AI framework is the first to use medical scans to inform radiation dosage, moving the field forward from using generic dose prescriptions to more individualized treatments. Currently, radiation therapy is delivered uniformly. The dose delivered does not reflect differences in individual tumor characteristics or patient-specific factors that may affect treatment success.
The spinal cord is the vital link between the brain and body, a superhighway of life-critical information protected by the bony vertebra of the spinal column. The spinal column is the most common site for bone metastasis, when tumors spread from internal organs to the bones. Estimates indicate that at least 30% and as many as 70% of patients with cancer will experience spread of cancer to their spine. Each year, about 10,000 Americans develop primary or metastatic spinal cord tumors. "The spine is a place where people can miss lesions, especially very small metastases, which could be the difference between finding an early, treatable tumor and finding a tumor too late to be treatable," says Dr. Michael Fanariotis, chief radiologist for CT at the Telemark Hospital in Skien, Norway.