Events

February 12

Biostatistics drop-in workshop

Are you a researcher needing support with any statistical aspect of your work? The Biostatistics Consulting Service here at Meilahti Campus holds drop-in workshop sessions every other week to answer smaller questions about your analysis - solving a particular problem, how to get started, etc. We provide service in Finnish, English and Swedish.

 

The next workshop is on Wednesday 12th February, at 13:00-15:00 in Biomedicum 2B, in the Olohuone on floor 6. Come whenever you can. Note that you may end up waiting a while for your turn, especially early on in the session. We aim to spend no more than 15 minutes with each customer.

 

Bring: 

·       your computer

·       your data

·       your questions

and we biostatisticians will be on hand to help and guide. 

 

Registration is not required, but you can help us prepare for your questions by filling in this form. The workshops are open to any researcher at the university's Medical Faculty, HUS or FIMM. 

The following sessions are planned for 26th Feb, (N.B. 3-week interval!) 19th March, 2nd April, 16th April, 30th April, 14th May and 28th May.

 

For more in-depth questions, please book a one-on-one consultation session using this e-form where we will have time to go into more detail. 

 

From the Biostatistics Team


Start time: 12/02/2025 13:00
End time: 12/02/2025 15:00
Duration: 2 hours
Location: Biomedicum 2, 6th floor lounge
Type: Other
Organization: Biostatistics Consulting Service
Contact person: biostat-consult@helsinki.fi
February 12

ReproducibiliTea: DON’T DRAW YOUR DATA: Sleuth’s stories in uncovering suspicious data in preclinical Alzheimer’s research papers.

Speaker: DR. MU YANG Columbia University MedicalCenter, New York, USA
In this webinar, I will go over how I started sleuthing, and the most intriguing cases that I reported. I will discuss suspicious water maze data from several renowned researchers in the AD
field. Given the importance of the work of Eliezer Masliah, I will present representative examples of image manipulation in his papers. In the end, I will discuss how to report to journals (tips
strategies, dos and don’ts) and how to flag papers on PubPeer to foster integrity and open dialogues.
About the speaker
Mu Yang is the director of the Mouse Neurobehavior Core at Columbia University, and an accidental sleuth. After discovering fraudulent Morris water maze data in multiple papers on mouse models of Alzheimer’s, and working with Dr. Richard Morris (known for inventing a water navigation task for rodents) to report the fraud, she started to realize how rampant research
misconduct is. The frustration led her to become a sleuth. She was the lead sleuth in reporting over 130 papers by Eliezer Masliah, former director of Neuroscience at theNational Institute of Aging (NIA). Her reports have ledto over 140 retractions since 2022.
References:
https://pubmed.ncbi.nlm.nih.gov/36823264/
https://pubmed.ncbi.nlm.nih.gov/36064424/
https://pubmed.ncbi.nlm.nih.gov/39325884/
Start time: 12/02/2025 15:00
End time: 12/02/2025 16:00
Duration:
Location: remotely
Type: Webinar
Organization: University of Helsinki
Contact person: anastasiia.marmyleva@helsinki.fi
February 12

FICAN webinar "Cancer, VUS and molecular modelling in personal medicine

Speaker: Antti Poso, Professor of Drug DesignUniversity of Eastern Finland
Get to know the Speaker: https://uefconnect.uef.fi/antti.poso/


This time the seminar is organized byFICAN East. The seminar will be held online (Microsoft Teams), find the link below. The event is open to everyone interested in cancer research. Event details and abstract & relevant references attached and also here: FICAN science webinaari ”Cancer, VUS and molecular modelling in personal medicine” 12.2.2025 – FICAN


The range of cancer drugs is extensive, and gene sequencing offers opportunities for personalized treatment selection. Designing personalized treatment requires multidisciplinary collaboration, and often, computer models of drug targets can assist in selecting cancer medications. Sequencing identifies mutations present in cancer, and models can be used to study how these mutations affect the efficacy of cancer drugs. For instance, a mutation may prevent a cancer drug from binding to its target protein, rendering the medication ineffective for the patient. While the use of computer models to aid in cancer drug selection has been employed to some extent globally, it remains rare in Finland. By leveraging information on mutation-induced changes in protein structures, the most effective cancer drug can be chosen. Creating and studying computer models is rapid, providing information on drug suitability in hours or, at most, a few days. Additionally, I will present several case examples from Germany to illustrate this approach in practice.
Relevant references for this talk
Kuittinen, Poso, Bartos: Lääkkeen vaikutuskohteen tietokonemalleista apua yksilöidyn
syöpälääkkeen valintaan. Duodecim, 2024, 140, 1703-1709

S. Spahn, F. Kleinhenz, E. Shevchenko, A. Stahl, Y. Rasen, C. Geisler, et al., Nat. Commun. 2024, 15,
1287.

 

These nationwide webinars aim to 

  • Share information about high-quality cancer research and its results conducted in various regions. 
  • Provide insights into cancer care and diagnostics, with a focus on new approaches and techniques 
  • Foster collaboration and discussion for the benefit of cancer patients throughout Finland 

February 14

Dissertation: Lasse Hokkinen

Lasse Hokkinen, University of Helsinki, Faculty of Medicine, Doctoral Program in Clinical Research
Deep learning in diagnosing stroke from CTA

Opponent: Professor Juhana Hakumäki, University of Eastern Finland


Start time: 14/02/2025 12:00
End time: 14/02/2025 14:00
Duration: 2 hours
Location: Siltavuorenpenger 1, Apollon sali
Type: Dissertation
Organization: UH, Faculty of Medicine
Contact person: hokkinen@gmail.com
February 14

Dissertation: Meri Kaustio

Meri Kaustio,  University of Helsinki, Faculty of Medicine, Doctoral Programme in Integrative Life Science
Genetic and Functional Studies on Inborn Errors of Immunity: Exploring NFKB1, STAT3, DIAPH1, and MAP4K1 defects

Opponent: Honorary associate professor Kimberly Gilmour, University College London



Start time: 14/02/2025 13:00
End time: 14/02/2025 15:00
Duration: 2 hours
Location: Biomedicum1, lecture hall 2, Haartmaninkatu 8, 00290 Helsinki
Type: Dissertation
Organization: UH, Faculty of Medicine
Contact person: meri.kaustio@helsinki.fi