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of 326
pro vyhledávání: '"King Ross D"'
Autor:
Musslick, Sebastian, Bartlett, Laura K., Chandramouli, Suyog H., Dubova, Marina, Gobet, Fernand, Griffiths, Thomas L., Hullman, Jessica, King, Ross D., Kutz, J. Nathan, Lucas, Christopher G., Mahesh, Suhas, Pestilli, Franco, Sloman, Sabina J., Holmes, William R.
Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating discovery,
Externí odkaz:
http://arxiv.org/abs/2409.05890
Autor:
Abdel-Rehim, Abbi, Orhobor, Oghenejokpeme, Griffiths, Gareth, Soldatova, Larisa, King, Ross D.
The concept of personalised medicine in cancer therapy is becoming increasingly important. There already exist drugs administered specifically for patients with tumours presenting well-defined mutations. However, the field is still in its infancy, an
Externí odkaz:
http://arxiv.org/abs/2408.13012
Autor:
Tiukova, Ievgeniia A., Brunnsåker, Daniel, Bjurström, Erik Y., Gower, Alexander H., Kronström, Filip, Reder, Gabriel K., Reiserer, Ronald S., Korovin, Konstantin, Soldatova, Larisa B., Wikswo, John P., King, Ross D.
The cutting edge of applying AI to science is the closed-loop automation of scientific research: robot scientists. We have previously developed two robot scientists: `Adam' (for yeast functional biology), and `Eve' (for early-stage drug design)). We
Externí odkaz:
http://arxiv.org/abs/2408.10689
Autor:
Gower, Alexander H., Korovin, Konstantin, Brunnsåker, Daniel, Kronström, Filip, Reder, Gabriel K., Tiukova, Ievgeniia A., Reiserer, Ronald S., Wikswo, John P., King, Ross D.
The process of developing theories and models and testing them with experiments is fundamental to the scientific method. Automating the entire scientific method then requires not only automation of the induction of theories from data, but also experi
Externí odkaz:
http://arxiv.org/abs/2406.17835
Autor:
Abdel-Rehim, Abbi, Zenil, Hector, Orhobor, Oghenejokpeme, Fisher, Marie, Collins, Ross J., Bourne, Elizabeth, Fearnley, Gareth W., Tate, Emma, Smith, Holly X., Soldatova, Larisa N., King, Ross D.
Large language models (LLMs) have transformed AI and achieved breakthrough performance on a wide range of tasks that require human intelligence. In science, perhaps the most interesting application of LLMs is for hypothesis formation. A feature of LL
Externí odkaz:
http://arxiv.org/abs/2405.12258
This study explores the application and performance of Transformational Machine Learning (TML) in drug discovery. TML, a meta learning algorithm, excels in exploiting common attributes across various domains, thus developing composite models that out
Externí odkaz:
http://arxiv.org/abs/2309.16693
Autor:
Gower, Alexander H., Korovin, Konstantin, Brunnsåker, Daniel, Tiukova, Ievgeniia A., King, Ross D.
Scientific discovery in biology is difficult due to the complexity of the systems involved and the expense of obtaining high quality experimental data. Automated techniques are a promising way to make scientific discoveries at the scale and pace requ
Externí odkaz:
http://arxiv.org/abs/2306.06065
Publikováno v:
Journal of Integrative Bioinformatics, Vol 7, Iss 3, Pp 156-168 (2010)
The paper presents an ontology for the description of Drug Discovery Investigation (DDI). This has been developed through the use of a Robot Scientist “Eve”, and in consultation with industry. DDI aims to define the principle entities and the rel
Externí odkaz:
https://doaj.org/article/4b2c0bed931a4794a6072a7fa371ceb4
The goal of Protein Structure Prediction (PSP) problem is to predict a protein's 3D structure (confirmation) from its amino acid sequence. The problem has been a 'holy grail' of science since the Noble prize-winning work of Anfinsen demonstrated that
Externí odkaz:
http://arxiv.org/abs/2301.07568
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