ALS ONE的动态

??Excited to Share My Activity and Role at the 13th Basic and Clinical Neuroscience Congress!?? I’m honored to contribute to this prestigious event in two key ways: 1??Invited Speaker: ??“Complementary Role of AI Analysis in Early Detection of Dementia” In my talk, I will dive into how?AI advancements?are revolutionizing the early detection of dementia, focusing on its integration with?MRI imaging (T1/T2-weighted). AI-driven tools are enabling clinicians to detect subtle brain changes that traditional methods might overlook, paving the way for?earlier diagnoses?and?timely interventions. ??Date: Thursday, December 12th, 2024 ??Time: 13:00 – 13:30 ??? Location: Razi International Conference Center, Tehran, Iran, Main Hall ? 2??In charge of the Oral Presentation Reviewer Committee: As a member of this committee, I am excited to review innovative research from some of the most talented individuals in neuroscience. It has been truly inspiring to observe the remarkable advancements that are shaping the future of our field. I eagerly anticipate the presentation and discussion of these ideas during the congress. ??Date: Thursday, December 12th, 2024 ??Time: 16:30 – 18:00 ??Location: Razi International Conference Center, Tehran, Iran, Hall 2 I’m excited to engage with the neuroscience community at this congress and discuss the future of AI in healthcare. Let’s connect and share ideas! #Neuroscience #AI #AlzheimersDetection #HealthcareInnovation #AlzheimersDisease #Innovation #ISMRM #DeepLearning #MachineLearning #Dementia #Leadership ?

?? *READ ASTRACT BELOW:* Part 1: Background: To address the numerous unmeet clinical needs, in recent years several Machine Learning models applied to medical images and clinical data have been introduced and developed. Even when they achieve encouraging results, they lack evolutionary progression, thus perpetuating their status as autonomous entities. We postulated that different algorithms which have been proposed in the literature to address the same diagnostic task, can be aggregated to enhance classification performance. We suggested a proof of concept to define an ensemble approach useful for integrating different algorithms proposed to solve the same clinical task. Methods: The proposed approach was developed starting from a public database consisting of radiomic features extracted from CT images relating to 535 patients suffering from lung cancer. Seven algorithms were trained independently by participants in the AI4MP working group on Artificial Intelligence of the Italian Association of Physics in Medicine to discriminate metastatic from non-metastatic patients. The classification scores generated by these algorithms are used to train SVM classifier. The Explainable Artificial Intelligence approach is applied to the final model. The ensemble model was validated following an 80-20 hold-out and leave-one-out scheme on the training set.(...) Fanizzi A, PLoS One. 2024 Sep 10;19(9):e0303217. doi: 10.1371/journal.pone.0303217. PMID: 39255296. #Gesundheit #Bildung #Fuehrung #Coaching #Mindset #Motivation #Gehirn #Neuroscience #Psychologie #Persoenlichkeitsentwicklung #Kindheit #KeyNoteSpeaker #Humangenetik #Biochemie #Neuroleadership #Ernaehrung #Transformation #Stress #Demografie #Gender #Age #interkulturelleKompetenz #Epigenetik #Veraenderung #EmotionaleIntelligenz #Change #Gesellschaft #Organisationsentwicklung #Philosophie #Beratung # Quantum

?? #GATEInnovators - On the day of Sofia City we celebrate our own Sophia Lazarova, highlighting one of her standout research contributions in the field of neurodegenerative disease diagnostics. In her study, Sofia explores innovative approaches to tackling the under detection of Alzheimer’s disease through community-based screening tools. This research is a prime example of how her interdisciplinary work at GATE Institute is pushing the boundaries of Big Data and AI in healthcare. ?? Key Insights from the Study: ?? Utilizes clock drawing errors and patient data for Alzheimer’s detection. ??Proposes logistic regression models, accounting for age, education, and gender. ??Significant Findings: Clock symmetry and time errors were key indicators for Alzheimer’s. Combined with verbal fluency scores, the model achieved an AUC of 0.91, paving the way for effective, accessible screening tools. ?? Why It Matters: As the prevalence of Alzheimer’s surges, detecting the disease early is crucial. Sofia’s work could lay the foundation for community-based programs that help address this global health challenge. Read the full open access article: Detection of Alzheimer’s Disease Using Logistic Regression and Clock Drawing Errors by Sophia Lazarova (GATE), Denitsa Grigorova (FMI), and Dessislava Petrova-Antonova (GATE) - https://rb.gy/z5ii3n #DigitalHealth #AI #Neuroscience #GATEInnovators #HealthcareRevolution #MeetTheResearchers #NeurodegenerativeResearch #GATEInstitute #GATEapplies

EEG & ML: The Hidden Impact of the Body on Brain-Biomarker Research I am very happy to share our latest work on electroencephalography (EEG) and machine-learning (ML), just published in eBiomedicine (Part of The Lancet Discovery Science)! ?? ?? ? We investigated how body signals impact ML models ?? ?? for EEG – an overlooked aspect with critical consequences! - Suppressing artifacts is key for developing reliable EEG biomarkers that are specific to the ?? brain. - Our findings reveal that powerful ML models might capture not just brain signals, but also body signals if we are not careful. The good news: we provide strategies for diagnosing and mitigating this issue in your research! A big shout out to the amazing team who made this work possible: Philipp Bomatter, Joseph Paillard, Pilar Garcés & Joerg Hipp Are you ready to improve your EEG research? - Check out the full paper to dive deeper into our work:? https://lnkd.in/dRzGu8NW - High-level walkthrough on X: https://lnkd.in/dbi_3-_N - … or via blog post on my website:https://lnkd.in/dB7Mtieu - Most importantly: Try out our team’s EEG pipeline in your own work! We're sharing this pipeline here for the first time, and it's available as open-source software! ???????????https://lnkd.in/dtfP2jTB #EEG #BrainBiomarkers #MachineLearning #neuroscience #biomarker #research #ArtifactRemoval #MorletWavelets #RocheInnovation #pRED

?? *READ ASTRACT BELOW:* Part 3: Conclusions: The consensus process led by the ASGE AI Task Force and experts from various disciplines has shed light on the potential of AI in endoscopy and gastroenterology. AI-based algorithms have shown promise in augmenting endoscopist performance, redefining quality metrics, optimizing workflows, and aiding in predictive modeling and diagnosis. However, challenges remain in evaluating AI algorithms, ensuring transparency and interpretability, addressing governance and data procurement, determining payment models, defining relevant clinical outcomes, and fostering collaboration between stakeholders. Addressing these challenges while maintaining a balanced perspective is crucial for the meaningful advancement of AI in gastroenterology. ASGE AI Task Force; Gastrointest Endosc. 2025 Jan;101(1):2-9.e1. doi: 10.1016/j.gie.2023.12.003. Epub 2024 Apr 17. PMID: 38639679. #Gesundheit #Bildung #Fuehrung #Coaching #Mindset #Motivation #Gehirn #Neuroscience #Psychologie #Persoenlichkeitsentwicklung #Kindheit #KeyNoteSpeaker #Humangenetik #Biochemie #Neuroleadership #Ernaehrung #Transformation #Stress #Demografie #Gender #Age #interkulturelleKompetenz #Epigenetik #Veraenderung #EmotionaleIntelligenz #Change #Gesellschaft #Organisationsentwicklung #Philosophie #Beratung # Quantum:

??? A Picture is Worth a Thousand Words: Advancing Healthcare with Brain Maps Celebrating the remarkable achievement by Google Research's Connectomics team! Their decade-long work has led to a synaptic-level reconstruction of human brain tissue, revealing intricate neuron structures and connections, as published in Science, an American Association for the Advancement of Science publication. ?? ?Transforming Healthcare: These detailed brain maps could significantly enhance our understanding of the brain, aiding precision medicine and targeted therapies. ?? Innovating Pharmacy: This research has the potential to advance neuropharmacology, potentially improving treatment strategies for neurological conditions. ?? Learn more: https://lnkd.in/gKYW66en ?? Full article in Science: https://lnkd.in/dCEKWtCu ?? Connectomics team: https://lnkd.in/g8eQmzGS ?? #Neuroscience #AI #HealthcareInnovation #Connectomics #AAAS #Google

Brain Informatics 2024: December 13-15, 2024 | Bangkok, Thailand [Deadline approaching] We would like to invite you submit Full Paper and Abstract to Brain Informatics 2024 Workshop on Multimodal Computational Approaches for Brain Biomarkers Discovery. Deadline until Aug 20, 2024, 11.59pm *USA Eastern Standard Time* This workshop is designed for researchers, clinicians, and industry professionals who are interested in the latest computational methods and their applications in brain biomarker discovery. The workshop welcomes contributions on a wide range of topics, including but not limited to: 1. Integration of multimodal data for brain biomarker discovery 2. Advanced machine learning and deep learning techniques in neuroscience? 3. Neuroimaging analysis and fusion (MRI, fMRI, PET, etc.) 4. Electrophysiological data processing and analysis (EEG, MEG) 5. Genomic and epigenomic data analysis for brain health Computational methods for early detection and diagnosis of neurological disorders 6. Biomarker validation and clinical translation Big data challenges and solutions in neuroscience? 7. Case studies and applications in neurodegenerative diseases, psychiatric disorders, and cognitive dysfunction? 8. Ethical considerations and data privacy in brain research Submit here: https://lnkd.in/gd7b3Jby #BI2024 #Brain #Informatics #Multimodal #Computational #Imaging #AI

???????? ???????????? ???? ?????? ?????????????? ?????????? ???? ?????? ???????????? ?????????? ???????? ?????????? We're thrilled to announce complimentary access to the award-winning paper from the ?????????????????????????? ?????????????? ???? ???????????? ??????????????: ???????????????????????? ???? ?????????????????? ?????????? ?????????????????? ???? ????????????-?????????? ???????????????????? ?????????????????????? ???? ???????????????????? ???? ???????????????? ?????????????????? ???????????????? ?????????????????????? ?????????????? ???????????????? ???????? ?????? ?? ?????????????? ?????? ???????? ???????????????????????????? ???????????????? ???????????????? ???????? ??????????????????: ?? ???????????????????????? ?????????????????? ?????????? ???????????????????????? Discover a novel adaptive beamforming approach that revolutionizes how we localize epileptic brain activity, ensuring better spatial resolution and noise control for accurate diagnostics and treatment planning. ? ?????????????????? ???????? ???????????????? Explore innovations in analyzing Single-Pulse Electrical Stimulation (SPES), paving the way for a deeper understanding of functional brain connectivity in epilepsy and beyond. ?? ???????????????? ???????????????????????? ???????????????? ???????????????????? Learn how this method empowers clinicians to deliver targeted, patient-specific interventions, aligning with the future of precision medicine. The ?????????????????????????? ?????????????? ???? ???????????? ?????????????? is a leading transdisciplinary journal with a 2023 Impact Factor of 6.6 and a CiteScore of 11.3, publishing cutting-edge research in machine learning, computational neuroscience, and neurology. ?? Read the award-winning paper now for free: https://lnkd.in/gRMjmUCt #EpilepsyResearch #NeuralSystems #PrecisionMedicine #ComputationalNeuroscience #AwardWinningResearch

You're a young researcher, you've got ideas. We'd be delighted to hear about them, and possibly help you by giving you a helping hand (holding a €15000 check). Just answer one question: ?????? ?????????? ?????? ?????? 3Brain AG ???????? ?????? ?? ???????????????? ?????????????? ?????????????????? ?????????? ?????????????????? ???? ???????????? ??????????????????? More info in this post below.

Multifractality and brain I'm happy to share that our new paper about analysing EEG signals from patients with multiple sclerosis and multifractality has been published. And much more is in the paper! #neuroscience #EEG #fractal