October 2022 Digital Health Roundup
Scientists have out done themselves in the arena of innovation for cancer treatments and detection this month. Fibroscan is a tool using ultrasound for oncologists to detect liver changes that could lead to further testing for diagnosing and treating liver cancer. A group of researchers have developed artificial intelligence to help oncologists determine the best drug therapy for each patient and their individual cancer. A small wireless implant is being tested to help battle deadly brain cancer tumors with less side effects than standard treatments for the patient.
Can A Fibroscan Detect Liver Cancer
Fibroscan is a noninvasive imaging test that may help diagnose liver cancer reports Healthline.com. Fibroscan uses ultrasound or sound waves to see the liver. It bounces sound waves off of the liver and can show signs of damage such as scarring and stiffness. Scarring or stiffness can be signs of cancer. Fibroscan shows more detail than a standard ultrasound and it can show changes to the liver over time. This tool has been helpful for finding hepatocellular carcinoma which is the most common type of liver cancer. If the Fibroscan detects certain changes to the liver, a biopsy can be done to detect if cancer is present. The Fibroscan is a quick test lasting about 15 minutes that requires fasting 3 hours before the test. Early detection of liver cancer increases the patient’s chance of survival. Click to read the full story.
It’s Like Molecular Speed Dating: LSU Using Artificial Intelligence In Cancer Treatment
Using algorithms originally designed to map complex social networks, like those utilized by Facebook, researchers generated three-dimensional graphs of molecular datasets that include cancer cell lines, drug compounds and interactions among proteins inside the human body reports TheAdvocate.com. This AI helps oncologists find drug therapies that work best on each patients different cancer. The information this AI provides will help patients get the correct treatment quicker and cut cost by choosing the right treatment the first time. The graphs created are analyzed by the AI. Researchers train the AI by inputing data, then ask it for what medicine would work best for that particular cancer. The AI makes a prediction based on the data and the researchers test the results in a wet lab. The team used six combinations of cancer cell lines with the drugs most toxic to their gene profile. The AI is able to match the cancer cell lines with the best drug much quicker, giving the patient the best treatment option. Click to read the full story.
A Small Wireless Implant Could Help Kill Deadly Brain Tumors
Researchers at Stanford Medicine developed and tested a wireless device in mice that is small enough to be inserted into a mouse’s brain to kill cancerous cells reports InterestingEngineering.com. This implant is activated remotely and heats up nanoparticles that are injected into the cancerous tumor to kill the cancer. The nanopartilces treat only the tumor so it has less side effects than chemotherapy and radiation. The implant uses photothermal treatment which uses light to heat up the nanoparticles. Photothermal treatment used to only be used during surgery when the brain was exposed to a light, but with the implant it can be done remotely. The device generates heat at the precise site of the tumor and is implanted between the skin and the skull. Then gold nanoparticles are injected into the tumor through a tiny hole in the skull. The implant then sends out infrared light that penetrates the brain tissue to activate the nanoparticles, it increases the temperature by up to 5 degrees Celsius. The power of the implant and wavelength of light can be adjusted to treat the cancer. Click to read full story.
Dana Kaiser is a professional writer and a strong patient advocate, learning from experience during her 22-year career as a nurse.