🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Vacuna española contra la tuberculosis, ejemplo de transferencia universidad-empresa - goo.gl/alerts/FaCgwA #GoogleAlerts

Jack Vaska (Stony Brook Univ) applies LLMs to #AMR prediction at #CAMDA25: Fine-tuned DNABERT2 models + DBGWAS identify resistance-linked sequences across 9 pathogens & 4 antibiotics. Results show high accuracy, showcasing the power of deep sequence context in AMR genomics.

Now, Alper Yurtseven (Helmholtz Institute) tackles #AMR at #CAMDA25, #ISMBECCB2025 by predicting resistance across 9 key bacterial species using machine learning. With a focus on scalable, cross-species models in the fight against antimicrobial resistance.

Owen Visser (Univ. of Florida) presents an ensemble ML model for AMR prediction at #CAMDA25, #ISMBECCB2025. Trained on strain-specific markers & AMR gene classes, achieving up to 98.2% accuracy (A. baumannii). Permutation analysis reveals key resistance genes in diverse pathogens

David Danko (Biotia Inc.) presents BIOTIA-DX Resistance at #CAMDA25, #ISMBECCB2025, a clinically validated metagenomic workflow adapted for AMR prediction. With curated global data and stringent preprocessing, the tool reached an F1 score of 84 on the challenge test set

Kinga Zielińska (Jagiellonian Univ.) opens the #CAMDA25, #ISMBECCB2025 the Gut Microbiota Challenge: Can we build a better microbiome health index? With 4,398 samples & taxonomic + functional data, participants are encouraged to go beyond GMHI & hiPCA

Rafael Pérez Estrada (UNAM) presents an ensemble approach to microbiome health at #CAMDA25, #ISMBECCB2025: By integrating taxonomic (MetaPhlAn) & functional (HUMAnN) data, his Optimized Pathway Ensemble achieves F1 = 0.76. A new web tool compares refined indices across diseases

Now at #CAMDA25, #ISMBECCB2025, Khartik Uppalapati (RareGen Youth Network) introduces RDMHI, a rare-disease–specific microbiome health index for PKU, integrating taxonomic, functional & genetic data. RDMHI outperforms GMHI & clinical baselines in forecasting Phe crises.

Vincent Mel (Univ. of Florida) proposes at #CAMDA25 #ISMBECCB2025 a new ensemble-based gut health index by integrating taxonomic & metabolic pathway data. The model outperforms GMHI, hiPCA & Shannon entropy, achieving 72% balanced accuracy and highlighting key microbiome features

Now at #CAMDA25 #ISMBECCB2025, Doroteya Staykova (Multicore Dynamics) applies Topological Data Analysis to map healthy gut microbiomes. Her methodology reveals two distinct subgroups with unique taxonomic & functional signatures, offering a new perspective on microbiome health.

Carlos Loucera introduces the #CAMDA25 Synthetic Electronic Health Records Challenge, discussing how patterns in longitudinal disease trajectories have been distilled from over a million diabetes patients to make them available for public research. ISCB News

Spiros Denaxas (UCL) opens Day 2 of #CAMDA25, #ISBCECCB2025 with a keynote on the promise & pitfalls of Electronic Health Records in biomedical research. From multidimensional insights to best practices, EHRs are reshaping how we study thousands of conditions simultaneously

Daniel Voskergian (Al-Quds Univ.) presents a Grouping–Scoring–Modeling (GSM) framework at #CAMDA25, #ISBCECCB2025, to predict diabetic complications from synthetic EHRs. Using structured disease-stage groups & XGBoost, models accurately predict key outcomes like CKD & retinopathy

Antti Honkela (Univ. of Helsinki) kicks off the #CAMDA25 Health Privacy Challenge with a call for responsible, privacy-preserving ML on sensitive health data. He explores how to fairly evaluate privacy–utility trade-offs in trained ML models #ISCBECCB2025

Hakime Öztürk (EMBL) introduces the #CAMDA25 Health Privacy Challenge (part of @ELSA_AI) in a Blue vs Red Team setup, participants develop & attack generative models (e.g., VAEs, GANs) for synthetic gene expression data—balancing utility & privacy in biology #ISBCECCB2025

The #CAMDA25 panel on Health Privacy brought together Spiros Denaxas, Antti Honkela, David Kreil, Wenzhong Xiao & Joaquin Dopazo to debate privacy-preserving ML, synthetic data, and regulatory challenges. A timely conversation on trust, utility & compliance in health AI

Steven Golob (Univ. of Washington Tacoma) tackles the data access bottleneck at #CAMD25 by evaluating synthetic data generation (SDG) algorithms for bulk RNA-seq, assessing to what extent they can generate privacy-safe genomics data without sacrificing quality #ISBCECCB2025

Jules Kreuer (Univ. of Tübingen) presents NoisyDiffusion at #CAMDA25 a conditional diffusion model for synthetic gene expression data with built-in differential privacy. High accuracy & low MIA risk show promise for secure, high-utility genomic sharing #ISMBECCB2025

Serghei Mangul (Sage Bionetworks & Univ. of Suceava) analyzes 6M+ papers to map omics data reuse at #CAMDA25. Despite 65% of studies using secondary data, 72% of RNA-seq datasets remain unused Solutions? Better metadata, reuse incentives & formal reusability metrics #ISMBECCB2025

In a second talk, Serghei Mangul reveals gaps in pre-publication omics data sharing: Only 9–23% of datasets are available at preprint time. Early release boosts citations, yet fragmented practices hinder transparency. Time to rethink sharing standards in genomics.