Nicola Altini

#scacchi È Nicola Altini il nuovo Campione italiano Rapid @federscacchi. Ha battuto Artem Gilevych e Simone De Filomeno. Ecco i nomi dei campioni per singola categoria: facebook.com/share/p/1EgV2b…

In this work we assessed the link among Pathomics, Transcriptomics, and PDA mutations by using CLAM🧠. This multimodal and interpretable framework has been published on Computerized Medical Imaging and Graphics by @ElsevierConnect. Click on for details ⏩ sciencedirect.com/science/articl…

Congratulations to Demis Hassabis with the first Nobel price. I remember Demis told me his goal is two Nobel prices and AI being able to answer ALL questions about our existance in his life time. Dont know if the second is achievable or even wishable, but first seems realistic 👍

Check out this recently published manuscript on TCIA datasets which combined radiomics, clinical and mutation data from CPTAC Pancreatic cancer subjects to study their prognoses! p.s. Thank you @GianMaria_Zeit for following our citation guidelines perfectly!

Our last article about time-dependent explainable radiomic analysis from the multi-omic cohort CPTAC-PDA is available on @ElsevierConnect CMPB. Thanks to @TCIA_News for its great effort in sharing imaging data to let us do our hard but loved work. sciencedirect.com/science/articl…

🎊Welcome to meet us at our 1st International Online Conference on Bioengineering 🔗iocbe2024.sciforum.net 📅Time: October 16-18 ⏳ Abstract Submission Deadline: 17th July; via sciforum.net/user/submissio… #biomaterials #biomechanics #regenerativemedicine #tissueengineering #Nano

🔬 Excited to share the publication on "NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM"👉 mdpi.com/2306-5354/9/9/… #nuclei_segmentation #histopathology #deep_learning #semantic_segmentation #instance_segmentation #detection

MLPs are so foundational, but are there alternatives? MLPs place activation functions on neurons, but can we instead place (learnable) activation functions on weights? Yes, we KAN! We propose Kolmogorov-Arnold Networks (KAN), which are more accurate and interpretable than MLPs.🧵

Happy to share out last deep learning-based tool for prognosis in DLBCL 🧠💻 -> SurvIAE: Survival prediction with Interpretable Autoencoders from Gene Expression Data 🧬, with @N_Altini, @SabCiavarella, @MariellaVeglia1 sciencedirect.com/science/articl…

Our poster presented by @N_Altini at #bits2023, Bioinformatics Italian Society, on XAI applied to DLBCL for predicting Early Progressors combining DEGs and clinical determinants. @SabCiavarella @MariellaVeglia1

Out now our letter 📩 published by @Hemasphere_EHA 🩸: “A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants” journals.lww.com/hemasphere/Ful… A great squad effort by @SabCiavarella @MariellaVeglia1 and colleagues from @PolibaOfficial

It’s a pleasure to share our paper on H&E normalization methods. A great result for a multidisciplinary team. sciencedirect.com/science/articl…