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Cataloging breast cells to find cancer origins

 E-Mail IMAGE: Mammary tissue is made up of a variety of cells, including epithelial (pink), immune (cyan), and fat (black) cells visible in this cross-section of a mouse mammary gland. CSHL Associate. view more  Credit: Camila dos Santos/dos Santos lab, CSHL/2021 What if you could predict which cells might become cancerous? Breast tissue changes dramatically throughout a woman s life, so finding markers for sudden changes that can lead to cancer is especially difficult. Cold Spring Harbor Laboratory (CSHL) Associate Professor Camila dos Santos and her team identified and cataloged thousands of normal human and mouse breast cell types. The new catalog redefines healthy breast tissue so that when something goes awry, scientists can pinpoint its origin.

Genetic Therapies for Brain Diseases

Investegate |Biogen Inc ; Envisagenics Announcements | Biogen Inc ; Envisagenics: Biogen and Envisagenics Announce Collaboration to Advance RNA Splicing Research

Biogen Inc ; Envisagenics: Biogen and Envisagenics Announce Collaboration to Advance RNA Splicing Research

Biogen Inc.; Envisagenics: Biogen and Envisagenics Announce Collaboration to Advance RNA Splicing Research As part of the agreement, Biogen will leverage Envisagenics AI platform with the goal of better understanding Central Nervous System diseases CAMBRIDGE, Mass. and NEW YORK, May 13, 2021today announced a new collaboration to advance ribonucleic acid (RNA) splicing research within central nervous system (CNS) diseases. As part of the collaboration, Biogen will leverage Envisagenics proprietary artificial intelligence (AI)-driven RNA splicing platform, SpliceCore , to define and understand the regulation of different RNA isoforms in CNS cell types. Genetic information encoded in the human chromosome is converted into RNA molecules which is then used as the template to make proteins. RNA splicing is the process that trims out extra information embedded in the intermediate RNA molecules, and this trimmed RNA is what is then used to produce functional proteins.

Making AI algorithms show their work

 E-Mail IMAGE: Cold Spring Harbor Laboratory Assistant Professor Peter Koo in his lab with graduate student Shushan Toneyan. Koo s team studies how machine learning AI called deep neural networks (DNNs) work. He. view more  Credit: ©Gina Motisi, 2020/CSHL Artificial intelligence (AI) learning machines can be trained to solve problems and puzzles on their own instead of using rules that we made for them. But often, researchers do not know what rules the machines make for themselves. Cold Spring Harbor Laboratory (CSHL) Assistant Professor Peter Koo developed a new method that quizzes a machine-learning program to figure out what rules it learned on its own and if they are the right ones.

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