ForecomAI

We are a consulting R&D partner with world class expertise in machine and deep learning providing solutions in healthcare and biosciences
@forecomai.bsky.social

[ForecomAI @ForecomAI]

@UniOfSurrey @PeopleCentredAI PAI's Professor Miroslaw Bober will be presenting the work @UniOfSurrey @PeopleCentredAI

[ForecomAI @ForecomAI]

📢 Excited to share that our joint work with CVSSP (University of Surrey) will be presented at CVPR 2025 this week in Nashville.
@UniOfSurrey @PeopleCentredAI
#CVPR2025 #SSL #ComputationalBiology #MorphologicalProfiling #BioAI

[ForecomAI @ForecomAI]

@UniOfSurrey @PeopleCentredAI We introduce TRex — a two-stage framework that adapts static SSL features to biologically meaningful tasks like MoA classification. It doubles mAP (0.15 → 0.32), improves compound recognition and generalisation — without retraining large models.

[Mikel Bober-Irizar @mikb0b]

Why do pre-o3 LLMs struggle with generalization tasks like @arcprize? It's not what you might think.

OpenAI o3 shattered the ARC-AGI benchmark. But the hardest puzzles didn’t stump it because of reasoning, and this has implications for the benchmark as a whole.

Analysis below🧵

[Surrey Media Team @UniSurreyNews]

.@PeopleCentredAI unveils a cutting-edge #AI system that can accurately and quickly identify protein patterns in cells. The new system has the potential to speed progress in #cancerresearch https://t.co/A419lqCXnp #ProudtobeSurrey

[ForecomAI @ForecomAI]

AI developed in the UK is the world leader in identifying the location and expression of proteins https://t.co/eO9lKw6RoZ

[Human Protein Atlas @ProteinAtlas]

Join the State of Precision Medicine webinar, where physicians, scientists, directors, and patient advocates will discuss the current state and future of the field. Speakers include Professor Mathias Uhlén who will discuss related advances of multiomics.
https://t.co/YtVnK2EkJF

[Mikel Bober-Irizar @mikb0b]

Really proud to be published in a Nature Portfolio journal for the first time!

We set a new SOTA for single-cell protein localisation on the @ProteinAtlas, building on our work in the 2nd HPA Kaggle comp.

https://t.co/ETeQoRtYv4 @ForecomAI @cvssp_research @d_minskiy

[Reluctant Quant @DrMattCrowson]

RT Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures https://t.co/us5vsuczkU

[Communications Biology @CommsBio]

The Hybrid subCellular Protein Localiser (HCPL) improves single-cell classification for protein localization, allowing for large-scale data annotation through deep-learning architecture. https://t.co/dvTy59ecGb

[ForecomAI @ForecomAI]

This is our work just published
https://t.co/IjEOGOrrYU

[ForecomAI @ForecomAI]

This was a successful partnership between @cvssp_research and @ForecomAI

[ForecomAI @ForecomAI]

We are excited to share that our work on an advanced AI system for single-cell image analysis of protein localisation has been published in a Nature portfolio journal https://t.co/JXbZWg0x4R #SingleCell #ArtificialIntelligence #MachineLearning #ImageAnalysis #Microscopy

[ForecomAI @ForecomAI]

This technique can rapidly identify the subcellular localisation of proteins of interest in images, streamlining high throughput screening for various applications including the study of tumour heterogeneity, identification of disease and toxicity biomarkers, and drug discovery.

[ForecomAI @ForecomAI]

Another success of our youngest team member @mikb0b

[Mikel Bober-Irizar @mikb0b]

My paper introducing the concept of backdoored NN architectures and their security implications was accepted to @CVPR!

Big thanks to my BA dissertation supervisors @iliaishacked, Aaron, @RobDMullins, and also @NicolasPapernot.

Pre-print: https://t.co/Y6CUTk42Td

[ForecomAI @ForecomAI]

Current ongoing projects include #imageanalysis and #realworlddata analysis

[ForecomAI @ForecomAI]

We focus on bespoke #AI solutions to private and public organisations