Filip Miljković
@filipmiljkovic.bsky.social
Associate Principal AI Scientist @ AstraZeneca | Visiting Researcher @ Uppsala University | Affiliate Scientist @ University of Bonn | filipm90.github.io
Reposted by Filip Miljković
Excited to share our recent paper, ”Compressing Biology,” to be presented at the Imageomics workshop at NeurIPS 2025. 🔬💻 Work led by my amazing PhD student Télio Cropsal. #cellpainting #stablediffusion #imageomics
arxiv.org/abs/2510.19887
arxiv.org/abs/2510.19887
Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery
High-throughput phenotypic screens generate vast microscopy image datasets that push the limits of generative models due to their large dimensionality. Despite the growing popularity of general-purpos...
arxiv.org
October 30, 2025 at 4:22 PM
Excited to share our recent paper, ”Compressing Biology,” to be presented at the Imageomics workshop at NeurIPS 2025. 🔬💻 Work led by my amazing PhD student Télio Cropsal. #cellpainting #stablediffusion #imageomics
arxiv.org/abs/2510.19887
arxiv.org/abs/2510.19887
And Part II of our Metabolite Identification (MetID) Data in Drug Discovery is out: pubs.acs.org/doi/10.1021/... Here we explore application of MetID proprietary data to expand the capacity of site-of-metabolism (SoM) #ML models. The paper and SoM data are both #openacess.
#Zenodo #ADME
#Zenodo #ADME
Metabolite Identification Data in Drug Discovery, Part 2: Site-of-Metabolism Annotation, Analysis, and Exploration for Machine Learning
The ability to pinpoint and predict sites of metabolism (SoMs) is essential for designing and optimizing effective and safe bioactive small molecules. However, the number of molecules with annotated S...
pubs.acs.org
October 22, 2025 at 4:38 PM
And Part II of our Metabolite Identification (MetID) Data in Drug Discovery is out: pubs.acs.org/doi/10.1021/... Here we explore application of MetID proprietary data to expand the capacity of site-of-metabolism (SoM) #ML models. The paper and SoM data are both #openacess.
#Zenodo #ADME
#Zenodo #ADME
Our paper on metabolite identification (MetID) data generation and trend analysis is now live and #openacess in Mol. Pharmaceutics @acs.org. In addition, we share proprietary MetID schemes for 120 compounds on #Zenodo.
Link: pubs.acs.org/doi/10.1021/...
Stay tuned for Part II!
#dmpk #openscience
Link: pubs.acs.org/doi/10.1021/...
Stay tuned for Part II!
#dmpk #openscience
Metabolite Identification Data in Drug Discovery, Part 1: Data Generation and Trend Analysis
In drug discovery, metabolite identification data are used to identify metabolic soft spots in research molecules to facilitate reduced metabolism in subsequently designed compounds. In addition, know...
pubs.acs.org
October 16, 2025 at 5:19 PM
Our paper on metabolite identification (MetID) data generation and trend analysis is now live and #openacess in Mol. Pharmaceutics @acs.org. In addition, we share proprietary MetID schemes for 120 compounds on #Zenodo.
Link: pubs.acs.org/doi/10.1021/...
Stay tuned for Part II!
#dmpk #openscience
Link: pubs.acs.org/doi/10.1021/...
Stay tuned for Part II!
#dmpk #openscience
Pleased to announce that our research on LAGOM, a transformer-based model for predicting chemical structures of potential drug metabolites, has been published in Artificial Intelligence in the Life Sciences.
#compchem #chemsky
#compchem #chemsky
Excited to share that our paper "LAGOM: A transformer-based chemical language model for drug metabolite prediction" has been accepted in AILSCI!
doi.org/10.1016/j.ai...
Work led by Sofia Larsson and Miranda Carlsson, with @rbeckmann.bsky.social and Filip Miljković (AZ)!
#compchem #chemsky
doi.org/10.1016/j.ai...
Work led by Sofia Larsson and Miranda Carlsson, with @rbeckmann.bsky.social and Filip Miljković (AZ)!
#compchem #chemsky
September 22, 2025 at 8:50 PM
Reposted by Filip Miljković
Excited to share that our paper "LAGOM: A transformer-based chemical language model for drug metabolite prediction" has been accepted in AILSCI!
doi.org/10.1016/j.ai...
Work led by Sofia Larsson and Miranda Carlsson, with @rbeckmann.bsky.social and Filip Miljković (AZ)!
#compchem #chemsky
doi.org/10.1016/j.ai...
Work led by Sofia Larsson and Miranda Carlsson, with @rbeckmann.bsky.social and Filip Miljković (AZ)!
#compchem #chemsky
September 22, 2025 at 2:06 PM
Excited to share that our paper "LAGOM: A transformer-based chemical language model for drug metabolite prediction" has been accepted in AILSCI!
doi.org/10.1016/j.ai...
Work led by Sofia Larsson and Miranda Carlsson, with @rbeckmann.bsky.social and Filip Miljković (AZ)!
#compchem #chemsky
doi.org/10.1016/j.ai...
Work led by Sofia Larsson and Miranda Carlsson, with @rbeckmann.bsky.social and Filip Miljković (AZ)!
#compchem #chemsky