Tapahtumakalenteri (vanha)

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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/
Aloitusaika: 12.02.2025 15:00
Lopetusaika: 12.02.2025 16:00
Kesto:
Sijainti: remotely
Tyyppi: Webinar
Organisaatio: University of Helsinki
Yhteyshenkilö: anastasiia.marmyleva@helsinki.fi
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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