Decoding the tumor genetic blueprint
Mapping the tumor microenvironment
High tech tools of reverse engineering
Designing the targeted counter attack
007skaty AI Breast Cancer Pathology
Reading twenty-six patterns in the cells around the tumor, the AI predicts the path to heal.
007skaty Artificial intelligence algorithms identify microscopic cancer cells on digital biopsy slides.
007skaty Cultivating 3D breast cancer organoids preserves a patient's unique genetic quirks, allowing rapid, personalized drug testing without risking safety.
007skaty Reverse engineering breast tumors requires analyzing billions of highly diverse cancer cells
007skaty Search DNA strands for mutations to discover how scientists reverse engineer breast cancer cures.
Organoid biobanks: Scientists maintain frozen biobanks of patient-derived tumor organoids, allowing researchers worldwide to test new drugs on real human cancer models.
A process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer. In 2017, the international DREAM challenge crowdsourced machine learning algorithms to improve digital mammography interpretation.
What is the name of the 3D, miniature tissue models grown in labs from patient cells to mimic real tumors?
What major advantage do 3D organoids have over traditional 2D cell cultures on flat plastic dishes?
What critical problem does single-cell sequencing solve that traditional bulk sequencing overlooks?
Approximately when did single-cell RNA sequencing begin to be widely adopted to study cellular diversity in tumors?
How do researchers use CRISPR-Cas9 to identify new drug targets in breast cancer cells?
In what year did the discoverers of the CRISPR-Cas9 gene-editing tool win the Nobel Prize in Chemistry?
What type of artificial intelligence technology is trained on digital images to recognize cancer cells?