Xin Lai
@laixinking
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A Systems Biologist with passion for research, photograph, and cook.
Finland
Joined December 2009
New publication at #Bioinformatics of @OxfordJournals. HallmarkGraph: a cancer hallmark informed graph neural network for classifying hierarchical tumor subtypes #CancerResearch #MachineLearning #AIinMedicine #PrecisionOncology
https://t.co/DdYxziDHGl
academic.oup.com
AbstractMotivation. Accurate tumor subtype diagnosis is crucial for precision oncology, yet current methodologies face significant challenges. These includ
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The latest research from Guo's lab at @theNCI shows that one hotspot mutation in #DICER1's RNase IIIb can lead to loss and gain of function 5p-miRNA and the gain of function of 3p-miRNA. https://t.co/EndMCsOqrA
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See our new preprint, where we used a network biology method to identify novel therapeutic targets for uveal #melanoma. #networkmedicine #bioinformatics #cancer
A computational SOX10 network-based selection strategy to identify new drug targets in uveal melanoma https://t.co/oITIFEb0tv
#biorxiv_cancer
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Seedless binding in #miRNAs can also lead to gene repression as shown with miR-155 and miR-124, though this unconventional binding accounts ~1% of miRNA binding. See Bartel lab's new paper for details. Functional microRNA targeting without seed pairing https://t.co/TifY1q4DXQ
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New preprint on IDH-mutant #astrocytomas: We analyzed rare patient samples showing grade 2-3→4 progression post-therapy. Key findings: #ncRNAs drive astrocyte dedifferentiation; tumor suppressor #miRNA let-7b-3p shows recurrent deletions; #lncRNA NEAT1 regulates ECM organization
Integrative multi-modal analysis reveals the contribution of noncoding RNAs to post-treatment progression of IDH-mutant astrocytomas https://t.co/oXUx6n16wF
#biorxiv_cancer
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Our commitment to open science means the HallmarkGraph data and code are publicly available on #GitHub and #Zenodo. #OpenScience #FAIRdata #Research #GitHub #DataSharing
https://t.co/HALa3YT1L7
https://t.co/RPhvoL1iSi
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We built HallmarkGraph to be transparent. By integrating gene-level features with cancer hallmarks, we can now provide clear explanations for our model's predictions. #InterpretableAI #ComputationalOncology #MedicalAI
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HallmarkGraph achieves up to 99% accuracy in classifying tumor subtypes. Its high performance and interpretability can help us understand and target complex cancers more effectively. #DeepLearning #ComputationalBiology #AIforGood #HallmarksOfCancer
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We validated HallmarkGraph on over 10,000 tumor samples across 26 cancers and 405 subtypes up to eight levels. Our model is effective and scalable, paving the way for more robust cancer classification. #DataScience #GraphNeuralNetworks #Oncology #Genomics
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Introducing HallmarkGraph, the first biologically-informed graph neural network designed for hierarchical tumor-subtype classification. We’re integrating biological principles to advance precision oncology. #AI #MolecularTumorSubtype #TumorClassification #NetworkMedicine
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The forum's emphasis on translating academic research into practical applications through industry partnerships reflects the urgent need for scalable, data-driven healthcare solutions that can be deployed globally to improve patient outcomes and population health management.
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The second day's session on the digitization of health benefited greatly from the participation of high-level government officials and Chinese and Finnish companies, including @avaintec , @AtostekOy , SOENIA®, @NADMED_Ltd, 神州医疗.
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The 2nd China-Germany-Finland Life Sciences Forum, held at Tampere University, has successfully concluded. The forum brought together 60 researchers from five countries. The forum focused on AI in biomedical research and health data science innovation. https://t.co/qo5NCww1pc
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Just published!🦠 Repurposed #clindamycin suppresses #pyroptosis in tumor-associated macrophages through Inhibition of caspase-1 Open access🔓 https://t.co/WbBrI3iASF
#DrugRepurposing
#TumorAssociatedMacrophages
#Immunotherapy
#UvealMelanoma
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🧬 Successfully organized #ISBRA2025 in @helsinkiuni with @NetPharMed! 167 submissions across #bioinformatics & #computationalbiology → 66 high-quality papers selected for #LNBI proceedings. Thanks to all participants for making this international symposium exceptional! 🇫🇮
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We review a complex #microRNA network that cross-talks with SOX10 and MITF to regulate #tumor plasticity. Network analysis shows miRNA-mediated circuits control signaling pathways - driving phenotype switching, stemness & therapy resistance in #melanoma. https://t.co/WU6vegaUDI
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Registration is NOW OPEN for the 2nd China-Germany-Finland Life Sciences Forum at Tampere University! Join us during our centennial year for cutting-edge bioinformatics & medical informatics in biomedicine. FREE registration! #LifeSciences #Tampere100
https://t.co/la87Vobp0g
events.tuni.fi
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