09:30-10:00
Registration and breakfast
10:00-11:00
Commercialising ideas
4 talks
Speakers
The clue is in the titles - Why Hardware is hard and why deep tech is deeply problematic
Abstract
Mark will give an overview of the offer and journey of a Deep Tech start-up, and what he would have done differently based on experience to date.
Speakers
The key stages of company creation
Speakers
Overview of our annual spinout data report and upcoming entrepreneur handbook
Speakers
11:20-12:00
Commercialising Ideas - part 2
3 talks
What did a Royal Society Industry Fellowship ever do for me?
Speakers
Intro to my Industry Fellowship
Speakers
Entrepreneur in Residence Case studies
Speakers
12:00-13:30
Lunch and PhD poster presentations
7 talks
Context-Aware Facial Inpainting with GANs
Speakers
Using Boron Doped Diamond for Wastewater Treatment and Disinfection
Speakers
Transforming Radiology: High Flux Field Emission for 3D Medical Imaging
Speakers
Functional Aluminium Matrix Nanocomposites
Speakers
Development of a New Blood Circulatory System Simulator
Speakers
Capillary refill time and SpO2 measurement using optical wireless pulse oximeter sensor
Speakers
13:30-15:00
Parallel: Entrepreneur in residence case studies and pitches
2 talks
Entrepreneur in Residence activity case studies
Speakers
Abstract
An opportunity for EiRs to pitch collaborative projects and discuss challenges with the group.
13:30-15:00
Parallel: New Industry Fellows introductions
7 talks
Testing Autonomous Vehicle Perception Safety on Hardware Accelerators
Speakers
Using Light to enable Flight
Speakers
Active Controls for Sustainable Aviation
Speakers
Speakers
Thermal Metrology in Steelmaking
Speakers
Building Faster Interpreters to Reduce Cost and Energy Use of Massive Ecommerce Systems
Speakers
AI-guided solutions for early dementia prediction
Abstract
Alzheimer’s disease (AD) is characterised by a dynamic process of neurocognitive changes from normal cognition to mild cognitive impairment (MCI) and progression to dementia. However, not all individuals with MCI develop dementia. Predicting whether individuals with (MCI) or without symptoms (pre-symptomatic) will decline or remain stable is impeded by patient heterogeneity due to comorbidities that may lead to MCI diagnosis without progression to AD. Despite the importance of early diagnosis of AD for prognosis and personalised interventions, we still lack robust tools for predicting individual progression to dementia. Here, we propose a novel trajectory modelling approach that mines multimodal data patients to derive individualised prognostic scores of cognitive decline due to AD before symptoms occur. Our approach has strong potential to facilitate effective stratification of individuals based on prognostic disease trajectories, reducing patient misclassification with important implications for clinical practice and discovery of personalised interventions.
Speakers
13:30-16:00
Parallel: training workshop for students
14:45-15:15
Coffee and networking
15:15-15:45
Innovation policy at the Society and discussion
15:15-15:45
How is the Royal Society approaching innovation policy and what are your thoughts?
Speakers
16:00-17:00
Drinks and canapes reception