XVIVO’s Post

If you were unable to see this webinar live on the 26th June 2024. Use the link below to watch a recording of the whole session. #liverperfusion #reshapingthefuture #oxygenated #hypothermic #normothermic #livertransplant #optimisation #utilisation

Check out the online resources that you may find useful. #hypothermic #machineperfusion #oxygenated #pulsatile

New paper. Alejandro published another paper related to his research on applying ML techniques to healthcare. We were lucky to work with Prof Emilio Soria from IDAL-UV on this #research #phd #ecg

On 19 June 2024, Giuseppe (Giberto) Chirico attended the management committee & working groups' meeting of IMPROVE - 3Rs concepts to improve the quality of biomedical science (CA21139) as one of the leaders of the Working Group 2. Giuseppe (Giberto) Chirico is coordinating the preparation and dissemination of a survey 📊 at the EU 🌍 level within the project on the implementation of the 3R's principles. 🐭 IMPROVE - 3Rs concepts to improve the quality of biomedical science (CA21139) main aim is to establish a network which will work to refine, harmonize and promote 3Rs concepts, data and document. This COST actions align with In2Sight goal to develop economically and ethically sustainable bio-tests using innovative in-vivo optical imaging tools in order to improve biomedical basic and translational science. 🔬 🖥 #In2Sight #Innovation #Research #opticalimaging #IMPROVE

📢 Exciting News! 🎉 Our latest research paper titled "CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment" has been published in the Journal of Medical Systems (https://lnkd.in/etbaV3-V)! 📚🧠 I'm thrilled to share that our work on leveraging LSTM Generative Adversarial Networks for synthesizing CT perfusion maps from dynamic CTP images has been published. This innovative approach holds significant promise for enhancing acute ischemic stroke assessment, offering potential improvements in diagnostic accuracy and patient outcomes. I want to extend my gratitude to my co-authors Dr. Brian Buck and Dr. Pierre Boulanger for their invaluable contributions to this project. It's truly been a team effort, and I'm proud of what we've accomplished together. I'm excited about the impact that this research can have on advancing medical imaging techniques and ultimately improving patient care. If you're interested in learning more about our study, feel free to reach out to discuss it further! #Research #MedicalImaging #StrokeAssessment #CTPerfusion #HealthcareInnovation #deeplearning #Unet #segmentation #LSTM #GAN

The best AAV capsid ever is useless if it can't package the transgene. However, fixing this problem is the topic of today's paper. Here's what the researchers did: 1. They started with a standard insertion library for AAV capsids. 2. The "packaging fitness" of each variant in the library was given a score. 3. The "packaging fitness" estimations were then used as labels to build a predictive model. 4. A machine learning design approach was developed to engineer an AAV capsid library that has wide diversity WITH a good "packaging fitness" score. The Results: 1. Their design approach yielded an AAV capsid library with a 5X higher packaging fitness than the control library. Not only that, but capsid diversity was relatively unimpacted. 2. The researchers then demonstrated the utility of their designed library in a primary human brain tissue selection. The ML-guided library yielded ten times the number of infectious variants compared to the control library. This is an incredible accomplishment. Kudos to the authors Danqing Zhu, David Brookes, Akosua Busia, Ana Carneiro, Clara Wong-Fannjiang, Galina Popova, David Shin, Kevin Donohue, Li F. Lin, Zachary Miller, Evan Williams, Edward Chang, Tomasz Jan Nowakowski, Jennifer Listgarten & David Schaffer - excellent work! For a curated list of papers covering viral vector process development, check out #pdjournalclub What are your thoughts on this approach? Drop them in the comments. #innovation #machinelearning #aav #genetherapy #science

Exciting day at Sahlgrenska Universitetssjukhuset!Today I had the opportunity to work on a fascinating lab project utilizing a clinical 3T MRI scanner.We conducted experiments with 7 vials containing agarose gels with different T1 and T2 values.T1 values between ~20-50ms and T2~10-200ms.Grateful for the opportunity to learn and understand with this hands-on experience!#MRI#Medicalimaging#Labproject

We are very grateful to having you all here at #FraunhoferIZI! We are looking forward working with you in the CERTAINTY project to revolutionize adoptive cellular immunotherapies with the groundbreaking concept of the virtual twin.   Want to know more about CERTAINTY? Check out the press release we published at the start of the EU funded project: 👉 https://lnkd.in/eRqHEuJq   #HealthcareInnovation #CancerTreatment #VirtualTwin #PersonalisedMedicine #CERTAINTY #Oncology #ImmunoOncology #DigitalHealth

Great online content that you can access. Use the link below. #machineperfusion #XVIVO #transplantation

Excited to be in #Heidelberg, where being inscribed as a #MedicalStudent for the second part of my Medical studies in 1987. And very happy to attend the 13th biannual #Meeting of the #DGfB (https://lnkd.in/deEjwYsU) (#DeutscheGesellschaftBiomechanik) onApril 24-26, kindly organized by the current president J. Philippe Kretzer. This was"only" 21 years after I had the pleasure in organizing the 3rd Meeting at the #Institute_of_Anatomy at #LMU in #Munich, with great support of by boss at the time, Prof. Reinhard Putz, who still is an extremely valuable mentor and friend. Our presentation on the 26th, in Session 15, themed #Biological #Tissue dealt with fully #automated analysis (#segmentation) of #cartilage transverse relaxation times (#T2), using #AI- and #deep_learning based #CNN (#convolutional_neural_network) algorithms. T2 is regarded a measure of #cartilage_quality (#composition), related to cartilage #histology, #mechanical_properties, and #early_osteoarthritis. In our present study, technical and clinical #validation of fully automated T2 analysis was performed both cross sectionally and longitudinally, in participants with #anterior_cruciate_ligament (#ACL) #injury with a without surgical treatment, and #healthy_controls. The work was performed in collaboration with Nicholas Brisson's group at Charite Berlin, and was supported by the #OA_Bio project (#Eurostars: #European_Union #Horizon_2020 research and innovation program, and #BMBF) led by francis berenbaum and 4P-Pharma. The MRI data and manual reference segmentations had been previously obtained within the #OVERLOAD - #PrevOP project, led by Univ.-Prof. Dr. Ing. Georg Duda. Thanks to all to make it happen!