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Department of Oncology

 
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List of talks used to build talks listing on CRUK CI website
Updated: 38 min 42 sec ago

Thu 27 Mar 09:30: Revealing the Unseen: AI's Role in Novel Target Discovery for High Unmet Needs Areas Through Multi-Omics Integrationce for identifying novel therapeutic targets, biomarkers and drug repositioning opportunities

Tue, 04/02/2025 - 10:50
Revealing the Unseen: AI's Role in Novel Target Discovery for High Unmet Needs Areas Through Multi-Omics Integrationce for identifying novel therapeutic targets, biomarkers and drug repositioning opportunities

The role of AI and data-driven methodologies is set to play a huge part in the drug discovery industry, allowing intricate details of a multitude of disease mechanisms and improving the way for the streamlined development of therapeutics. The focus of this seminar would give an overview of how AI and Multi-Omics are shaping betterment in the area of the improved identification and profiling of therapeutic targets.

I will describe the general AI principles and show how they apply to drug discovery in a manner that can be followed by a wide audience. This should give the participants with even the barest understanding of the technical background an understanding of the value that this tool adds in drug discovery. I shall take our research using AI and machine learning coupled with advanced mathematical models. Integrative analysis of multi-omics datasets enabled identifying new targets and pathways that may suggest new avenues for their use in understanding complex biological questions.

The presentation also focuses on how such academic insights work out in the domain of commerce and further reflected through my experiences of founding and running AI-driven Startups: Kure.ai Therapeutics and CardiaTec Biosciences. The second one will bring out examples that evidently show the relevance of our findings in practical scenarios of developing innovative solutions in the area of cardiovascular diseases.

The talk concludes with a Q&A session and gives a very succinct but also very full picture of the role of AI and data-driven methods in modern drug discovery. It is in this regard that the subject of the seminar will put forth how these emerging technologies are enablers for increased precision and efficiency in the development of therapeutics today or will be, thus allowing an informed discussion among participants hailing from academia to biotech to big pharmaceuticals.

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Thu 20 Nov 13:00: Seminars in Cancer

Wed, 29/01/2025 - 16:45
Seminars in Cancer

Abstract not available

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Thu 19 Jun 13:00: Seminars in Cancer

Wed, 29/01/2025 - 16:45
Seminars in Cancer

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Thu 15 May 13:00: Seminars in Cancer

Wed, 29/01/2025 - 16:44
Seminars in Cancer

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Thu 20 Mar 13:00: Seminars in Cancer

Wed, 29/01/2025 - 16:44
Seminars in Cancer

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Mon 16 Jun 12:30: QBS

Wed, 29/01/2025 - 16:44
QBS

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Mon 19 May 12:30: QBS

Wed, 29/01/2025 - 16:44
QBS

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Mon 28 Apr 12:30: QBS

Wed, 29/01/2025 - 16:43
QBS

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Mon 03 Feb 12:30: Steering the evolutionary dynamics of cancer through space and time

Wed, 29/01/2025 - 16:43
Steering the evolutionary dynamics of cancer through space and time

In the first part of the talk, we focus on the conceptual development of alternative treatment strategies that leverage the principles of evolution to mitigate treatment resistance. We introduce this broad class of drug scheduling strategies known as evolutionary therapies and explain how mathematical modeling can aid by providing patient-specific predictions as a decision-support tool for providing clinical insight. Next, we explore the practical implementation of an evolutionary therapy steering strategy within an in vivo model of non-small-cell lung cancer treated with ALK inhibitors. Treatment-naïve tumors are associated with more convex exposure-response curves (low doses provide sufficient responses) while evolved-resistance tumors are generally more concave (requiring high doses for equivalent responses). Resistance to ALK inhibitors in vivo occurs gradually, as tumors acquire cooperating genetic and epigenetic adaptive changes. Thus, we hypothesized the existence of a critical point in the time-evolution of ALK -positive tumors where it is optimal to switch from continuous treatment to high-dose / low-dose to mitigate the onset of gradual resistance. In vivo validation provides evidence that evolutionary steering is a viable strategy for predicting the onset of resistance and developing resistance management treatment strategies. Thus far, we neglect the fact that cancer growth can be described as a caricature of the renewal process of the tissue of origin, where the tissue architecture and spatial correlations have a strong influence on the evolutionary dynamics within a tumor. To incorporate these characteristics, we introduce agent-based modeling methods that integrate clinical spatial data to make inferences on the role of microenvironmental mechanism of immune escape, and define implications on therapy.

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Mon 24 Feb 12:30: Generative machine learning to model cellular perturbations

Wed, 29/01/2025 - 16:43
Generative machine learning to model cellular perturbations

The field of cellular biology has long sought to understand the intricate mechanisms that govern cellular responses to various perturbations, be they chemical, physical, or biological. Traditional experimental approaches, while invaluable, often face limitations in scalability and throughput, especially when exploring the vast combinatorial space of potential cellular states. Enter generative machine learning that has shown exceptional promise in modeling complex biological systems. This talk will highlight recent successes, address the challenges and limitations of current models, and discuss the future direction of this exciting interdisciplinary field. Through examples of practical applications, we will illustrate the transformative potential of generative ML in advancing our understanding of cellular perturbations and in shaping the future of biomedical research.

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Thu 13 Mar 09:30: Cancer virology

Thu, 23/01/2025 - 16:17
Cancer virology

Abstract not available

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Mon 19 May 12:30: QBS

Wed, 22/01/2025 - 10:07
QBS

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Thu 16 Oct 13:00: Seminars in Cancer

Wed, 22/01/2025 - 10:01
Seminars in Cancer

Abstract not available

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