ENBIS-23 Valencia Conference

Session

CONTRIBUTED Data Mining

12 Sept 2023, 16:40

Auditorium

Conveners

CONTRIBUTED Data Mining

• Jean-Michel Poggi (University of Paris-Saclay)

31. Where are the Limits of AI? And How Can You Overcome these Limits with Human Domain Knowledge?

Andrea Ahlemeyer-Stubbe (Ahlemeyer-Stubbe), Dr Eva Scheideler (Technische Hochschule Ostwestfalen-Lippe)

12/09/2023, 16:40

Data mining

AI is the key to optimizing the customer experience. But without explicit industry knowledge, empathy, knowledge of currents, values and cultural characteristics of the audience, the cultivation, and expansion of customer relationships falls short of expectations. AI and the segmentation and forecasting possibilities that come with it quickly become a blunt sword. Only in combination with...

124. Role of Data in Successful Transition into Bioprocess Industry 4.0 and Cognate Implications for Standardisation, Storage and Repurposing of Data

Duygu Dikicioglu (University College London)

12/09/2023, 17:00

Data mining

Industry 4.0 opens up a new dimension of potential improvement in productivity, flexibility and control in bioprocessing, with the end goal of creating smart manufacturing plants with a wide web of interconnected devices. Bioprocessing involves living organisms or their components to manufacture a variety of different products and deliver therapies and this organic nature amplifies the...

145. The Challenges in Building Meaningful Models with Publicly Available Omics Data

Ms Eva Price (University College London)

12/09/2023, 17:20

Data mining

Omics data, derived from high-throughput technologies, is crucial in research, driving biomarker discovery, drug development, precision medicine, and systems biology. Its size and complexity require advanced computational techniques for analysis. Omics significantly contributes to our understanding of biological systems.

This project aims to construct models for Human Embryonic Kidney cells...