All Stories

  1. Predicting progression of Alzheimer’s disease using blood-based multi-omics data
  2. End-to-end deep attention-based multitask pipeline for predicting uncertainty-quantified peptide properties from mass spectrometry data
  3. A Machine Learning and Benchmarking Approach for Molecular Formula Assignment of Ultra High-Resolution Mass Spectrometry Data from Complex Mixtures
  4. FiCOPS: Hardware/Software Co-Design of FPGA Computational Framework for Mass Spectrometry-Based Peptide Database Search
  5. MolDeBERTa: Foundational Model for Physicochemical and Structural-Informed Molecular Representation Learning
  6. TITAN-BBB: Predicting BBB Permeability using Multi-Modal Deep-Learning Models
  7. MLSPred-bench: Transforming electroencephalography (EEG) datasets into machine learning-ready epileptic seizure prediction benchmarks
  8. HINN: Hierarchical Input Neural Network identifies multi-omics biomarker for cognitive decline
  9. Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models
  10. fairGNN-WOD: Fair Graph Learning Without Complete Demographics
  11. RAPTOR: Reconfigurable Advanced Platform for Transdisciplinary Open Research
  12. Habenula alterations in resting state functional connectivity among autistic individuals
  13. Message from the Program Chairs
  14. Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation
  15. Utilizing Pretrained Vision Transformers and Large Language Models for Epileptic Seizure Prediction
  16. Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data
  17. Alzheimer’s disease‐associated gene ranking using PhenoGeneRanker
  18. TA‐RNN: an Attention‐based Time‐aware Recurrent Neural Network Architecture to Predict Progression of Alzheimer’s Disease
  19. Alzheimer’s disease diagnosis using gray matter of T1‐weighted sMRI data and vision transformer
  20. Predicting Individual’s Cognitive Performance Through Multi‐Omics Blood Data Using Hierarchical Input Neural Network ‐ HINN
  21. Identifying Alzheimer’s disease-associated genes using PhenoGeneRanker
  22. Utilizing Pretrained Vision Transformers and Large Language Models for Epileptic Seizure Prediction
  23. Message from the Program Chairs
  24. How Psychology Can Ease End-of-Life Challenges: Modifying Social Norms Around Death and Dying in the US
  25. Predicting peptide properties from mass spectrometry data using deep attention-based multitask network and uncertainty quantification
  26. fairGNN-WOD: Fair Graph Learning Without Complete Demographics
  27. MLSPred-Bench: ML-Ready Benchmark Leveraging Seizure Detection EEG data for Predictive Models
  28. Pvtad: Alzheimer’s Disease Diagnosis Using Pyramid Vision Transformer Applied to White Matter of T1-Weighted Structural Mri Data
  29. Robustness of ML-Based Seizure Prediction Using Noisy EEG Data From Limited Channels
  30. Communication Evaluation of a Wireless 4-Channel Wearable EEG for Brain-Computer Interface (BCI) and Healthcare Applications
  31. Making MS Omics Data ML-Ready: SpeCollate Protocols
  32. Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study
  33. ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular Field
  34. Energy Efficient AI/ML based Continuous Monitoring at the Edge: ECG and EEG Case Study
  35. Secure Seaport Management System using Blockchain Technology
  36. PVTAD: ALZHEIMER’S DISEASE DIAGNOSIS USING PYRAMID VISION TRANSFORMER APPLIED TO WHITE MATTER OF T1-WEIGHTED STRUCTURAL MRI DATA
  37. GPU-acceleration of the distributed-memory database peptide search of mass spectrometry data
  38. High Transaction Rates Performance Evaluation for Secure E-government Based on Private Blockchain Scheme
  39. Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data
  40. PPAD: a deep learning architecture to predict progression of Alzheimer’s disease
  41. Q-CASA Invited Speakers Quantum-Centric Supercomputing Strategies for Neuroscience problems: Challenges and Progress
  42. Description of Dissolved Organic Matter Transformational Networks at the Molecular Level
  43. PPAD: A deep learning architecture to predict progression of Alzheimer’s disease
  44. Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks
  45. SPERTL: Epileptic Seizure Prediction using EEG with ResNets and Transfer Learning
  46. Molecular level characterization of DOM along a freshwater-to-estuarine coastal gradient in the Florida Everglades
  47. US Renal Data System 2021 Annual Data Report: Epidemiology of Kidney Disease in the United States
  48. Communication lower-bounds for distributed-memory computations for mass spectrometry based omics data
  49. Unsupervised Structural Classification of Dissolved Organic Matter Based on Fragmentation Pathways
  50. A Easy to Use Generalized Template to Support Development of GPU Algorithms
  51. Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions
  52. Computational CPU-GPU Template for Pre-processing of Floating-Point MS Data
  53. Existing HPC Methods and the Communication Lower Bounds for Distributed-Memory Computations for Mass Spectrometry-Based Omics Data
  54. Fast Spectral Pre-processing for Big MS Data
  55. G-MSR: A GPU-Based Dimensionality Reduction Algorithm
  56. High-Performance Computing Strategy Using Distributed-Memory Supercomputers
  57. Introduction to Mass Spectrometry Data
  58. Machine-Learning and the Future of HPC for MS-Based Omics
  59. Need for High-Performance Computing for MS-Based Omics Data Analysis
  60. Re-configurable Hardware for Computational Proteomics
  61. A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis
  62. DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images
  63. Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter
  64. SpeCollate: Deep cross-modal similarity network for mass spectrometry data based peptide deductions
  65. Message from the Program Chairs
  66. High performance computing framework for tera-scale database search of mass spectrometry data
  67. TurboBC: A GPU Based Betweenness Centrality Algorithm in the Language of Linear Algebra
  68. Real-time peptide identification from high-throughput mass-spectrometry data
  69. Search feasibility in distributed MS-proteomics big data
  70. Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification
  71. Simulation Testbed for Evaluating Distributed Querying and Searching of Mass Spectrometry Big Data in a Network-based Infrastructure
  72. A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets
  73. TurboBFS: GPU Based Breadth-First Search (BFS) Algorithms in the Language of Linear Algebra
  74. ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data
  75. Benchmarking mass spectrometry based proteomics algorithms using a simulated database
  76. Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey
  77. Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data
  78. Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey
  79. NGS-Integrator: An efficient tool for combining multiple NGS data tracks using minimum Bayes’ factors
  80. Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications
  81. GPU-SFFT: A GPU based parallel algorithm for computing the Sparse Fast Fourier Transform (SFFT) of k-sparse signals
  82. ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
  83. Associations of caregiver-oncologist discordance in prognostic understanding with caregiver-reported therapeutic alliance and anxiety.
  84. Efficient Shared Peak Counting in Database Peptide Search Using Compact Data Structure for Fragment-Ion Index
  85. Optimized CNN-based Diagnosis System to Detect the Pneumonia from Chest Radiographs
  86. Auto-ASD-Network
  87. LBE: A Computational Load Balancing Algorithm for Speeding up Parallel Peptide Search in Mass-Spectrometry Based Proteomics
  88. NGS‐Integrator: A Tool for Combining Information from Multiple Genome‐Wide NGS Data Tracks Using Minimum Bayes Factors
  89. GPU-DFC: A GPU-Based Parallel Algorithm for Computing Dynamic-Functional Connectivity of Big fMRI Data
  90. SLM-Transform: A Method for Memory-Efficient Indexing of Spectra for Database Search in LC-MS/MS Proteomics
  91. Gender and preferences for palliative care: Perceptions of efficacy.
  92. Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs
  93. National outcomes of in-hospital cardiopulmonary resuscitation in patients with acute kidney injury: years 2005 – 2011
  94. GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data
  95. MaSS‐Simulator: A Highly Configurable Simulator for Generating MS/MS Datasets for Benchmarking of Proteomics Algorithms
  96. Efficient Resource Distribution in Cloud and Fog Computing
  97. A Fourier-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets
  98. Towards quantifying psychiatric diagnosis using machine learning algorithms and big fMRI data
  99. Similarity based classification of ADHD using singular value decomposition
  100. Fast-GPU-PCC: A GPU-Based Technique to Compute Pairwise Pearson’s Correlation Coefficients for Time Series Data—fMRI Study
  101. MaSS-Simulator: A highly configurable MS/MS simulator for generating test datasets for big data algorithms
  102. Power-efficient and highly scalable parallel graph sampling using FPGAs
  103. Scalable data structure to compress next-generation sequencing files and its application to compressive genomics
  104. A Hybrid MPI-OpenMP Strategy to Speedup the Compression of Big Next-Generation Sequencing Datasets
  105. An Out-of-Core GPU based Dimensionality Reduction Algorithm for Big Mass Spectrometry Data and Its Application in Bottom-up Proteomics
  106. GPU-PCC
  107. A New Cryptography Algorithm to Protect Cloud-Based Healthcare Services
  108. Systems-level analysis reveals selective regulation of Aqp2 gene expression by vasopressin
  109. Reductive Analytics on Big MS Data leads to tremendous reduction in time for peptide deduction
  110. GPU-ArraySort: A Parallel, In-Place Algorithm for Sorting Large Number of Arrays
  111. Comparative Outcomes of Carotid Artery Stent Placement and Carotid Endarterectomy in Patients with Chronic Kidney Disease and End-Stage Renal Disease
  112. A parallel peptide indexer and decoy generator for crux tide using OpenMP
  113. Introduction to the selected papers from the 7th International Conference on Bioinformatics and Computational Biology (BICoB 2015)
  114. Treatment Patterns and Outcomes for Ruptured and Unruptured Intracranial Aneurysms in Patients with Polycystic Kidney Disease (P1.249)
  115. MS-REDUCE: an ultrafast technique for reduction of big mass spectrometry data for high-throughput processing
  116. A Variable-Length Network Encoding Protocol for Big Genomic Data
  117. Data Aware Communication for Energy Harvesting Sensor Networks
  118. Autophagic degradation of aquaporin-2 is an early event in hypokalemia-induced nephrogenic diabetes insipidus
  119. Big data proteogenomics and high performance computing: Challenges and opportunities
  120. Outcomes of In-Hospital Cardiopulmonary Resuscitation in Maintenance Dialysis Patients
  121. Variable pharmacokinetics of extended interval tobramycin or gentamicin among critically ill patients undergoing continuous venovenous hemofiltration
  122. Managing hospitalized hemodialysis patients: A guide for the non-nephrologist
  123. A Parallel Algorithm for Compression of Big Next-Generation Sequencing Datasets
  124. Outcomes of transient ischemic attack in maintenance dialysis patients and those with chronic kidney disease
  125. Design and Implementation of Network Transfer Protocol for Big Genomic Data
  126. Outcomes of in-hospital Cardiopulmonary Resuscitation in stroke patients admitted in the United States, Years 2005-2011 (P2.276)
  127. Acute Renal Failure Worsens In-hospital Outcomes in Patients with Intracerebral Hemorrhage
  128. Abstract T P302: Acute Kidney Injury in Subarachnoid hemorrhage is Associated with Higher Death and Disability
  129. Abstract W P315: Outcomes Of In-hospital Cardiopulmonary Resuscitation In Stroke Patients Admitted In The United States, Years 2005-2011
  130. Foreword
  131. Outcomes of Endovascular versus Intravenous Thrombolytic Treatment for Acute Ischemic Stroke in Dialysis Patients
  132. A knowledge base of vasopressin actions in the kidney
  133. Acute Renal Failure Is Associated With Higher Death and Disability in Patients With Acute Ischemic Stroke
  134. Exploiting thread-level and instruction-level parallelism to cluster mass spectrometry data using multicore architectures
  135. Carotid Artery Stent Placement and Carotid Endarterectomy in Patients with Dialysis Dependent Renal Failure (P7.167)
  136. Global analysis of the effects of the V2 receptor antagonist satavaptan on protein phosphorylation in collecting duct
  137. End-of-Life Care Beliefs Among Muslim Physicians
  138. Abstract 166: Carotid Artery Stent Placement and Carotid Endarterectomy in Patients with Dialysis Dependent Renal Failure
  139. Abstract T MP76: Acute Kidney Injury in Acute Ischemic Strokes is Associated with Worse Outcomes
  140. CAMS-RS: Clustering Algorithm for Large-Scale Mass Spectrometry Data Using Restricted Search Space and Intelligent Random Sampling
  141. Outcomes of Thrombolytic Treatment for Acute Ischemic Stroke in Dialysis-Dependent Patients in the United States
  142. Proteome-Wide Measurement of Protein Half-Lives and Translation Rates in Vasopressin-Sensitive Collecting Duct Cells
  143. FOREWORD TO THE SPECIAL ISSUE ON SELECTED PAPERS FROM THE 5TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (BICoB 2013)
  144. End-of-Life Care Beliefs Among Hindu Physicians in the United States
  145. End-of-Life Care Beliefs Among Hindu Physicians in the United States
  146. A high performance algorithm for clustering of large-scale protein mass spectrometry data using multi-core architectures
  147. Quantitative phosphoproteomics implicates clusters of proteins involved in cell‐cell adhesion and transcriptional regulation in the vasopressin signaling network
  148. PhosSA: Fast and accurate phosphorylation site assignment algorithm for mass spectrometry data
  149. Quantitative phosphoproteomics in nuclei of vasopressin-sensitive renal collecting duct cells
  150. CPhos: A program to calculate and visualize evolutionarily conserved functional phosphorylation sites
  151. High performance <u>phos</u>phorylation <u>s</u>ite <u>a</u>ssignment algorithm for mass spectrometry data using multicore systems
  152. An efficient algorithm for clustering of large-scale mass spectrometry data
  153. Identifying protein kinase target preferences using mass spectrometry
  154. An efficient dynamic programming algorithm for phosphorylation site assignment of large-scale mass spectrometry data
  155. International Politics — Effects on the Training of International Medical Graduates
  156. Dynamics of the G Protein-coupled Vasopressin V2 Receptor Signaling Network Revealed by Quantitative Phosphoproteomics
  157. A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes
  158. Stercoral ulcer as a cause of lower gastrointestinal (LGI) bleeding in chronic hemodialysis patients
  159. NHLBI-AbDesigner: an online tool for design of peptide-directed antibodies
  160. Easing International Medical Graduates' Entry Into US Training
  161. Large‐scale iTRAQ‐based quantification of phosphorylation changes during vasopressin signaling
  162. Mapping‐based temporal pattern mining algorithm (MTPMA) identifies unique clusters of phosphopeptides regulated by vasopressin in collecting duct
  163. 268 An Over-the-Counter Remedy for Constipation
  164. Blood Loss through AV Fistula: A Case Report and Literature Review
  165. Lower Gastrointestinal Bleeding in Chronic Hemodialysis Patients
  166. Stroke after intravenous gamma globulin
  167. Comparative Evaluation of Whole Body and Hepatic Insulin Resistance Using Indices from Oral Glucose Tolerance Test in Morbidly Obese Subjects with Nonalcoholic Fatty Liver Disease
  168. A domain decomposition strategy for alignment of multiple biological sequences on multiprocessor platforms
  169. Multiple Sequence Alignment System for Pyrosequencing Reads
  170. Sample-Align-D: A high performance Multiple Sequence Alignment system using phylogenetic sampling and domain decomposition