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International AI collaboration “We can’t wait to combine our expertise” The Helmholtz International Lab Causal Cell Dynamics is now collaborating with the AI research institute Mila from Canada. The goal: to understand cellular processes in the development of diseases with the help of Big Data and AI. Fabian Theis and Yoshua Bengio explain the idea. Yoshua, you are the founder and director of the with approximately 500 researchers in the field of AI. What is it that Fabian and his team can offer that you don’t have already? Yoshua Bengio: We are one of the biggest AI research institutions in the world. We conduct research using artificial intelligence in many different fields where machines or humans can learn from data or from interacting with their environment, and we are best known for our work in deep learning and reinforcement learning. Machine learning is relevant in many areas, for example biomedical research, robotics, natural language pro ....
SHARE Facebook AI and Helmholtz Zentrum München, the German Research Center for Environmental Health, announced today the introduction of a new machine learning tool aimed at helping accelerate the discovery of effective new drug combinations for fighting disease and cancers. Malignant tumors and complex diseases often require a combination of drugs, known as “drug cocktails,” that are tailor-made to fight them. These need to be specially formulated to attack multiple types of cells, prevent drug resistance and even deal with harmful side effects. Today’s announcement is the release of an AI tool that predicts the effects of drug combinations using a model for dosages, timings and other types of interventions, such as gene knockout or deletions. ....
millionsjoker/Getty Images Facebook claims that its new artificial intelligence can predict the way drugs interact with each other inside cells quicker than existing methods, enabling speedier discovery of new drug combinations to treat illnesses like cancer, but some researchers say it may not translate into results that will be useful in humans. The system, developed by Facebook AI Research and the Helmholtz Centre in Munich, Germany, is claimed to be the first easy-to-use AI model able to estimate how different drugs will work in the body. It could speed up our ability to uncover new treatments for diseases like cancer. “Drug research often takes half a decade to develop a compound,” says Fabian Theis at the Helmholtz Centre, one of the authors of the work. ....
SARS-CoV-2 infects cells via specific viral entry factors eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.
New Nature Communications publication by Mann & Theis Groups harnesses the benefits of large-scale peptide collisional cross section (CCS) measurements and deep learning for 4D-proteomics Bruker Corporation today announces a seminal publication from the groups of Professors Matthias Mann and Fabian Theis in the journal Nature Communications with the title ‘Deep learning the collisional cross sections of the peptide universe from a million experimental values’ by Florian Meier et al. (doi.org/10.1038/s41467-021-21352-8). Figure 1. Large-scale peptide collisional cross section (CCS) measurement with TIMS and PASEF. From Deep learning the collisional cross sections of the peptide universe from a million experimental values . (a) Workflow from extraction of whole-cell proteomes through digestion, fractionation, and chromatographic separation of each fraction. The TIMS-quadrupole TOF mass spectrometer was operated in PASEF mode. (b) Overview of the CCS dataset in this stud ....