A5075337538- Tactile and Sensory Interactions
- Interactive and Immersive Displays
- Glioma Diagnosis and Treatment
- Virtual Reality Applications and Impacts
- Augmented Reality Applications
- Gaze Tracking and Assistive Technology
- Brain Metastases and Treatment
- Context-Aware Activity Recognition Systems
- Distributed systems and fault tolerance
- Software System Performance and Reliability
- Innovative Human-Technology Interaction
- Hand Gesture Recognition Systems
- Teleoperation and Haptic Systems
- Topic Modeling
- CAR-T cell therapy research
- Sustainable Finance and Green Bonds
- Parallel Computing and Optimization Techniques
- Pluripotent Stem Cells Research
- Human Mobility and Location-Based Analysis
- Distributed and Parallel Computing Systems
- Indoor and Outdoor Localization Technologies
- Corporate Social Responsibility Reporting
- Esophageal and GI Pathology
- Nanoparticle-Based Drug Delivery
- Financial Reporting and Valuation Research
Tulane University
2024
University of Alabama at Birmingham
2014-2024
Children's of Alabama
2014-2024
City Of Hope National Medical Center
2012-2024
City of Hope
2009-2024
National Taiwan University
2015-2024
UCLA Health
2024
Jiangsu Second Normal University
2024
Beckman Research Institute
2009-2024
Seattle Children's Hospital
2024
A patient with recurrent multifocal glioblastoma received chimeric antigen receptor (CAR)-engineered T cells targeting the tumor-associated interleukin-13 alpha 2 (IL13Rα2). Multiple infusions of CAR were administered over 220 days through two intracranial delivery routes - into resected tumor cavity followed by ventricular system. Intracranial IL13Rα2-targeted not associated any toxic effects grade 3 or higher. After T-cell treatment, regression all and spinal tumors was observed, along...
Extracting sentiment from text is a hard semantic problem. We develop methodology for extracting small investor stock message boards. The algorithm comprises different classifier algorithms coupled together by voting scheme. Accuracy levels are similar to widely used Bayes classifiers, but false positives lower and accuracy higher. Time series cross-sectional aggregation of information improves the quality resultant index, particularly in presence slang ambiguity. Empirical applications...
Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing machine learning to infer people's activities throughout everyday life. To address the growing rate of sedentary lifestyles, we developed a system, UbiFit Garden, which uses these technologies personal, mobile display encourage physical activity. We conducted 3-week field trial 12 participants used system report findings focusing on their experiences...
Traditional problem determination techniques rely on static dependency models that are difficult to generate accurately in today's large, distributed, and dynamic application environments such as e-commerce systems. We present a analysis methodology automates these by 1) coarse-grained tagging of numerous real client requests they travel through the system 2) using data mining correlate believed failures successes determine which components most likely be at fault. To validate our...
In this paper, we propos a new shared memory model: Transactionalmemory Coherence and Consistency (TCC).TCC providesa model in which atomic transactions are always the basicunit of parallel work, communication, coherence, andmemory reference consistency.TCC greatly simplifies parallelsoftware by eliminating need for synchronization using conventionallocks semaphores, along with their complexities.TCC hardware must combine all writes from each transaction regionin program into single packet...
This paper presents MyExperience, a system for capturing both objective and subjective in situ data on mobile computing activities. MyExperience combines the following two techniques: 1) passive logging of device usage, user context, environmental sensor readings, 2) active context-triggered experience sampling to collect situ, feedback. currently runs phones supports more than 140 event types, including: usage such as communication, application media capture, context calendar appointments,...
It is difficult to assign antibody specificity for highly sensitized patients using a cell panel with multiple antigens per reaction. We describe here single antigen bead accurate identification of human leukocyte (HLA) specificities by flow cytometry.A total 110 recombinant HLAs, including 34 A locus alleles, 57 B and 19 C were produced mammalian expression system. These coated onto eight different colored microbeads, which mixed together in one tube simultaneous detection HLA antibodies...
We present a decision tree learning approach to diagnosing failures in large Internet sites. record runtime properties of each request and apply automated machine data mining techniques identify the causes failures. train trees on traces from time periods which user-visible are present. Paths through ranked according their degree correlation with failure, nodes merged observed partial order system components. evaluate this using actual eBay, find that, among hundreds potential causes,...
Chimeric antigen receptor T cell (CAR-T) therapy is an emerging strategy to improve treatment outcomes for recurrent high-grade glioma, a cancer that responds poorly current therapies. Here we report completed phase I trial evaluating IL-13Rα2-targeted CAR-T cells in 65 patients with the majority being glioblastoma (rGBM). Primary objectives were safety and feasibility, maximum tolerated dose/maximum feasible dose recommended 2 plan. Secondary included overall survival, disease response,...
Abstract Polypharmacology drugs—compounds that inhibit multiple proteins—have many applications but are difficult to design. To address this challenge we have developed POLYGON, an approach polypharmacology based on generative reinforcement learning. POLYGON embeds chemical space and iteratively samples it generate new molecular structures; these rewarded by the predicted ability each of two protein targets drug-likeness ease-of-synthesis. In binding data for >100,000 compounds, correctly...
Purpose: Intracerebral microdialysis (ICMD) is an accepted method for monitoring changes in neurochemistry from acute brain injury. The goal of this pilot study was to determine the feasibility using ICMD examine neuropharmacokinetics temozolomide interstitium following oral administration.Experimental Design: Patients with primary or metastatic tumors had a catheter placed peritumoral tissue at time surgical debulking. Computerized tomography scan confirmed location. received single dose...
This paper presents Virgil, an automatic access point discovery and selection system. Unlike existing systems that select points based entirely on received signal strength, Virgil scans for all available APs at a location, quickly associates to each, runs battery of tests estimate the quality each AP's connection Internet. also probes blocked or redirected ports, guide AP in favor preserving application services are currently use. Results our evaluation across five neighborhoods three cities...
We present FingerPad, a nail-mounted device that turns the tip of index finger into touchpad, allowing private and subtle interaction while on move. FingerPad enables touch input using magnetic tracking, by adding Hall sensor grid fingernail, magnet thumbnail. Since it permits through pinch gesture, is suitable for use because movements fingers in are naturally hidden hand. Functionally, resembles also allows eyes-free use. Additionally, since necessary devices attached to nails, preserves...
Purpose: Human neural stem cells (NSC) are inherently tumor tropic, making them attractive drug delivery vehicles. Toward this goal, we retrovirally transduced an immortalized, clonal NSC line to stably express cytosine deaminase (HB1.F3.CD.C21; CD-NSCs), which converts the prodrug 5-fluorocytosine (5-FC) 5-fluorouracil (5-FU).Experimental Design: Recurrent high-grade glioma patients underwent intracranial administration of CD-NSCs during resection or biopsy. Four days later, began taking...
Severely obese adolescents harbor numerous cardiovascular disease risk factors (CVD-RFs), which improve after metabolic and bariatric surgery (MBS). However, predictors of change in CVD-RFs among have not yet been reported.The Teen-Longitudinal Assessment Bariatric Surgery study (NCT00474318) prospectively collected anthropometric health status data on 242 undergoing MBS at 5 centers. Predictors (blood pressure, lipids, glucose homeostasis, inflammation) 3 years Roux-en-Y gastric bypass...
Transactional Coherence and Consistency (TCC) offers a way to simplify parallel programming by executing all code within transactions. In TCC systems, transactions serve as the fundamental unit of work, communication coherence. As each transaction completes, it writes its newly produced state shared memory atomically, while restarting other processors that have speculatively read stale data. With this mechanism, TCC-based system automatically handles data synchronization correctly, without...
In this paper, we argue that localization solution based on cellular phone technology, specifically GSM phones, is a sufficient and attractive option in terms of coverage accuracy for wide range indoor, outdoor, placebased location-aware applications. We present preliminary results indicate GSM-based systems have the potential to detect places people visit their everyday lives, can achieve median accuracies 5 75 meters indoor outdoor environments, respectively.
In this article, we describe the design process of Reno, a location-enhanced, mobile coordination tool and person finder. The included three field experiments: formative Experience Sampling Method (ESM) study, pilot deployment an extended user study. These studies were targeted at significant personal security, privacy data protection concerns caused by application. We distil experience into small set guidelines for designers social applications show how these can be applied to different...