Name:
Nanoparticle surface-enhanced Ramen spectroscopy as a tool to monitor haematological malignancy
Description:
Nanoparticle surface-enhanced Ramen spectroscopy as a tool to monitor haematological malignancy
Thumbnail URL:
https://cadmoremediastorage.blob.core.windows.net/7f61be8a-3444-46ed-bdfd-a446a1f27d87/videoscrubberimages/Scrubber_3.jpg?sv=2019-02-02&sr=c&sig=qmUdT4XH9Ql%2F1cUGL84ZDM9%2FRv8fScJojAukurklt6Y%3D&st=2024-11-23T11%3A36%3A12Z&se=2024-11-23T15%3A41%3A12Z&sp=r
Duration:
T00H01M30S
Embed URL:
https://stream.cadmore.media/player/7f61be8a-3444-46ed-bdfd-a446a1f27d87
Content URL:
https://cadmoreoriginalmedia.blob.core.windows.net/7f61be8a-3444-46ed-bdfd-a446a1f27d87/Final NNM-2021-0076 animated video.mp4?sv=2019-02-02&sr=c&sig=Y%2FznozsLFFLico9xiQZzxxRR1Btbfk2KFxPNw9xw7qs%3D&st=2024-11-23T11%3A36%3A12Z&se=2024-11-23T13%3A41%3A12Z&sp=r
Upload Date:
2022-12-12T00:00:00.0000000
Transcript:
Language: EN.
Segment:0 .
[MUSIC PLAYING]
SPEAKER: After initial cancer treatment, doctors need to monitor the minimal residual disease, which is the amount of cancer cells that remain in the body. This is an important procedure since it helps doctors to effectively manage these diseases by reassuring or further treating patients, depending on the results. Raman scattering is a promising tool for monitoring residual disease by detecting the pattern of light scattered by specific molecules in cancer patients' plasma after it's been mixed with gold nanoparticles.
SPEAKER: The gold nanoparticles amplify the scattered light and enable its detection and analysis by a special microscope, which creates a molecule specific fingerprint and allows for the molecules in the sample to be determined. Next, a computer looks at these fingerprints. Compares them to fingerprints from patients with heart disease and healthy people, and trains itself to find patterns in the data that are unique to the cancer patients.
SPEAKER: This procedure, which is called machine learning, generates algorithms that can help discriminate between cancer positive and negative samples, allowing disease progression to be monitored. Once fully developed, this method could improve patient outcomes and help them live more confidently with cancer, while also saving hospitals a lot of money. [MUSIC PLAYING]
