News & events

• 2026 – ProgEvo / IPSS-M-Evo is published in NEJM Evidence, introducing an evolution-informed prognostic score for myelodysplastic syndromes and accompanied by an editorial on dynamic clonal-evolution risk stratification (article, editorial, IPSS-M-Evo calculator).
• 2026 – Daniele Ramazzotti is awarded a My First AIRC Grant (MFAG 2025) by Fondazione AIRC for Cancer Research. (AIRC – My First AIRC Grant).
• 2025 – EvoClin, a university spin-off project under development, wins the Premio Nazionale Innovazione (PNI) 2025 in the Life Sciences & MedTech category (DISCo news, BNews feature).
• 2025 – The ASTUTE method identifies an NRF2-based molecular signature predictive of prognosis across multiple tumour types (Dept. of Medicine & Surgery news, BNews feature).
• 2025 – RESOLVE, a new method for the analysis of mutational signatures across >20,000 adult and paediatric tumours, refines diagnosis, prognosis and treatment strategies and is featured on national TV on Casa Italia (Rai Italia) (Unimib news, RaiPlay – Casa Italia interview, AIRC feature, ANSA, Le Scienze).
• 2023 – ASCETIC is introduced as an algorithm to reconstruct tumour evolution models from large cancer genomics cohorts (Unimib press release, Corriere della Sera, ANSA).
• 2023 – A joint study with international collaborators uncovers the role of Escherichia coli colibactin in colorectal carcinogenesis (Unimib press release, La Repubblica, La Stampa, Radio24 – Obiettivo Salute).
• 2022 – Work on synonymous mutations in SARS-CoV-2 shows that even “silent” changes contribute to viral adaptation to the human host (BNews article).
• 2021 – The VERSO framework and related methods provide new tools to reconstruct viral evolution and analyse SARS-CoV-2 genomic diversity (CNR press release, Unimib news, Corriere – “cacciatori di mutazioni”, TG1 RAI coverage).
• 2018–2019 – Earlier work at Stanford contributes to data-driven stratification of tumour types and decision-making in end-of-life care (Big data in oncology, Palliative care insights).
• 2016 – Early work on probabilistic cancer progression models and the PiCnIc / CAPRI algorithms is featured in national media (La Repubblica – “Mappare il cancro con un algoritmo”, BBC – AI to predict cancer growth).

Below we provide a more detailed, chronologically ordered selection of news, press releases and media appearances related to TBL research and collaborations.

• May 2026 – The lab publishes “Prognostic Score for Myelodysplastic Syndromes Based on Molecular Evolution” in NEJM Evidence. The study introduces ProgEvo and IPSS-M-Evo, extending IPSS-M with evolution-informed variables and validating the model across external cohorts. A linked editorial frames the work as a move “from static to dynamic” risk assessment through clonal evolution.
  NEJM Evidence article · Related editorial · IPSS-M-Evo calculator · Evolution graphs
• January 2026 – Daniele Ramazzotti is awarded a My First AIRC Grant (MFAG 2025) by Fondazione AIRC for Cancer Research.
  AIRC – My First AIRC Grant

• December 2025 – EvoClin, a university spin-off project under development, wins the Premio Nazionale Innovazione (PNI) 2025 in the Life Sciences & MedTech category.
  DISCo news · BNews feature
• November 2025 – Daniele Ramazzotti is invited to Casa Italia on Rai Italia to present the RESOLVE study and discuss how a few key mutational processes generate most of the mutations observed in cancer, and how this knowledge can inform diagnosis, prognosis and personalised therapies.
  RaiPlay – Casa Italia interview (from 1:03:41)
• September 2025 – The bioinformatics tool ASTUTE associates KEAP1/NFE2L2 alterations with an NRF2 expression signature that serves as a prognostic biomarker across >3,600 tumours, as reported in npj Precision Oncology.
  Dept. of Medicine & Surgery news · BNews feature
• August 2025 – The RESOLVE method (Robust EStimation Of mutationaL signatures Via rEgularization) is presented as a robust framework to dissect mutational processes and refine cancer subtyping across 20,000 adult and paediatric tumours.
  Unimib news

• April 2024 – Daniele Ramazzotti receives the "Paladini Italiani della Salute" award (2nd Edition) for his work on evolutionary signatures of human cancers, based on the analysis of more than 35,000 tumour genomes.
  Dept. of Medicine & Surgery news · RDEditore – Paladini Italiani della Salute profile

• December 2023 – A collaborative study with ICR London and Human Technopole identifies the role of E. coli colibactin (pks⁺ strains) in colorectal carcinogenesis, revealing characteristic mutational patterns and potential preventive strategies.
  Unimib press release · La Repubblica – Oncoline · La Stampa – Oncoline · Radio24 – Obiettivo Salute (interview)
• October 2023 – The algorithm ASCETIC (for the inference of tumour evolution models from large genomic cohorts) is launched and featured across national media, showcasing its ability to reconstruct evolutionary trajectories from >35,000 tumours.
  Unimib press release · Corriere della Sera · ANSA – Biotech

• June 2022 – A large-scale analysis of synonymous mutations in SARS-CoV-2 demonstrates their role in viral evolution and adaptation to human codon usage, with coverage on Bicocca’s research magazine.
  BNews – “Il ruolo delle mutazioni sinonime nell’evoluzione del SARS-CoV-2”

• December 2021 – Deep sequencing and evolutionary analysis of SARS-CoV-2 at Bicocca are featured as the work of “mutation hunters” tracking the emergence of new variants.
  Corriere della Sera – “i cacciatori di mutazioni” · TG1 RAI news clip
• March 2021 – The VERSO framework and related methods for analysing viral evolution are presented in joint Unimib–CNR communications, highlighting applications to SARS-CoV-2 sequencing data (Patterns and iScience).
  CNR press release · Unimib news

• February 2019 – A Stanford Medicine feature discusses how data-driven decision-making in intensive care suggests that avoiding invasive treatments for dying patients may not shorten lifespan, contributing to the debate on end-of-life care.
  Stanford Medicine – Insights

• October 2018 – Work on big data and tumour stratification is highlighted by Stanford Medicine, describing an algorithm that uses multi-dimensional tumour data to define new cancer subtypes with prognostic value.
  Stanford Medicine – “Big data strikes again”
• September 2018 – The BBC reports on the use of artificial intelligence to predict cancer growth and evolutionary trajectories, based on the REVOLVER methodology, closely related to ongoing work on cancer evolution.
  BBC – “Artificial intelligence used to predict cancer growth”

• July 2016 – La Repubblica features early work on probabilistic models of cancer evolution, including the PiCnIc pipeline and the CAPRI algorithm, used to “map cancer with an algorithm” and reconstruct progression patterns in solid tumours.
  La Repubblica – “Mappare il cancro con un algoritmo”