ʼһ

XClose

Translational Research Office (TRO)

Home
Menu

AI/ML Innovations: Transforming medical treatment and diagnostics

9 July 2024

UCL's AI/ML for Medical Treatment & Diagnosis Workshop brings together healthcare industry partners and UCL academics to explore the applications of artificial intelligence and machine learning (AI/ML) in imaging, pharmaceutics, bioinformatics, and innovations.

A laptop screen displaying a PowerPoint presentation titled “HiP-CT imaging of the lung” with four images below.

Image 1: Dr. Joseph Jacob, Principal Research Fellow in Respiratory Medicine at ʼһ, introduces how HiP-CT imaging techniques can provide enhanced resolution to reveal detailed structures of lung tissues during the hybrid workshop.

On 9 July 2024, over sixty UCL academics and external partners gathered at the AI/ML for Medical Treatment & Diagnosis workshop at ʼһ BaseKX and online, focusing on AI and machine learning in imaging, pharmaceutics, bioinformatics and innovations.

Key insights on the application of AI/ML in healthcare:

  • Better data processing: Especially useful in processing high-dimensional data, e.g. in bioinformatics or imaging settings, to identify specific characteristics.
  • Enhanced diagnosis: Efficiently identify complex patterns for accurate disease diagnosis and predictions.
  • Advancing science: Efficient processing of large volumes of data by automated statistical methods enables data-driven modelling.
  • Enabling Innovations: Wide applications, spanning from novel biomarker discovery to computer-assisted surgery.

Examples of applications were given on identifying lung fibrosis, clustering microscopy images, detecting inherited retinal diseases, detecting skin cancer, using computer-assisted and robotic medical interventions, brain tumour radiotherapy, and controlled biomarker discovery, etc.

The event was organised by the UCL Faculty of Mathematical & Physical Sciences - Innovation & Enterprise, in collaboration with the Translational Research Office, aiming to exchange knowledge and foster collaborations.

A conference room with attendees seated facing a presenter at the front, who is standing next to a screen displaying a presentation with graphs and bullet points.

Image 2:Over sixty UCL academics and external partners gathered at the AI/ML for Medical Treatment & Diagnosis workshop at ʼһ BaseKX and online, focusing on AI and machine learning in imaging, pharmaceutics, bioinformatics and innovations.

A panel discussion taking place in a modern conference room with exposed ceiling pipes and bright lighting. The room is filled with attendees seated facing a panel of six individuals who are seated in front of a large screen displaying a presentation. The

Image 3:Engaging panel discussionto explorepractical, technical, and ethical challenges in AI/ML healthcare applications.

Interested to stay informed of upcoming news, events and funding calls?

  • Subscribe to our newsletterand you would automatically become a member of UCL TINs (Therapeutic Innovation Networks) and be the first to receive our event invitations

  • Followus on social media (,)and stay tuned to our news and updates.