A5090087547- Multiple Myeloma Research and Treatments
- Biomedical Text Mining and Ontologies
- Protein Degradation and Inhibitors
- Chronic Lymphocytic Leukemia Research
- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- Amyloidosis: Diagnosis, Treatment, Outcomes
- CAR-T cell therapy research
- Cancer Treatment and Pharmacology
- Monoclonal and Polyclonal Antibodies Research
- Lymphoma Diagnosis and Treatment
- Peptidase Inhibition and Analysis
- Semantic Web and Ontologies
- Acne and Rosacea Treatments and Effects
- Machine Learning in Healthcare
- Retinoids in leukemia and cellular processes
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Bone health and treatments
- Topic Modeling
- Advanced Drug Delivery Systems
- Malaria Research and Control
- HIV/AIDS drug development and treatment
- Drug Transport and Resistance Mechanisms
- Insect Pest Control Strategies
Fraunhofer Institute for Algorithms and Scientific Computing
2016-2025
The University of Texas MD Anderson Cancer Center
2020-2024
Banner MD Anderson Cancer Center
2020-2024
Banner - University Medical Center Phoenix
2021-2024
Banner Gateway Medical Center
2024
University of Bonn
2017-2023
The University of Texas Health Science Center at San Antonio
2015-2023
Research Institute Hospital 12 de Octubre
2023
Global Academy of Technology
2023
Sun Pharma Advanced Research (India)
2021-2022
Fully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These meant replace biocurators, instead assist them in one or more curation steps. To do so, the user interface is an important aspect that needs be considered for tool adoption. The BioCreative Interactive task (IAT) a track designed exploring user-system interactions, promoting development of useful TM tools, providing...
Journal Article Proline and Metabolising Enzymes in in-vitro Selected NaCl-tolerant Brassica juncea L. under Salt Stress Get access Shashi Madan, Madan Search for other works by this author on: Oxford Academic PubMed Google Scholar H. S. Nainawatee, Nainawatee R. K. Jain, Jain J. B. Chowdhury Annals of Botany, Volume 76, Issue 1, July 1995, Pages 51–57, https://doi.org/10.1006/anbo.1995.1077 Published: 01 1995
The study highlights the significance of co-application bioactive components into liposomal gel formulations and their comparison to azithromycin for treatment Acne. A Design Experiments (DoE) approach was utilized obtain optimized formulation encapsulating curcumin, with size zeta potential ∼100 nm ∼14 mV, respectively, characterized by DLS, HR-TEM, FESEM, AFM. curcumin dispersion depicted excellent stability over period 60 days, which further converted in form using Carbopol....
In situations like the COVID-19 pandemic, healthcare systems are under enormous pressure as they can rapidly collapse burden of crisis. Machine learning (ML) based risk models could lift by identifying patients with a high severe disease progression. Electronic Health Records (EHRs) provide crucial sources information to develop these because rely on routinely collected data. However, EHR data is challenging for training ML it contains irregularly timestamped diagnosis, prescription, and...
Detecting adverse drug events (ADE) of drugs that are already available on the market is an essential part pharmacovigilance work conducted by both medical regulatory bodies and pharmaceutical industry. Concerns regarding safety economic interests serve as motivating factors for efforts to identify ADEs. Hereby, social media platforms play important role a valuable source reports ADEs, particularly through collecting posts discussing associated with specific drugs. We aim our study assess...
Summary Background CD37 is expressed on B-cell lymphoid malignancies, thus making it an attractive candidate for targeted therapy in non-Hodgkin lymphoma (NHL). IMGN529 antibody-drug conjugate comprising a CD37-binding antibody linked to the maytansinoid DM1, potent anti-mitotic agent. Methods This first-in-human, phase 1 trial recruited adult patients with relapsed or refractory NHL. The primary objective was determine maximum tolerated dose (MTD) and recommended 2 dose. Secondary...
Abstract Motivation The COVID-19 pandemic has prompted an impressive, worldwide response by the academic community. In order to support text mining approaches as well data description, linking and harmonization in context of COVID-19, we have developed ontology representing major novel coronavirus (SARS-CoV-2) entities. a strong scope on chemical entities suited for drug repurposing, this is target ongoing therapeutic development. Results comprises 2270 classes concepts 38 987 axioms (2622...
Proteasome inhibitors (PIs), including carfilzomib, potentiate the activity of selinexor, a novel, first-in-class, oral selective inhibitor nuclear export (SINE) compound, in preclinical models multiple myeloma (MM).
Abstract Objective Healthcare data such as clinical notes are primarily recorded in an unstructured manner. If adequately translated into structured data, they can be utilized for health economics and set the groundwork better individualized patient care. To structure notes, deep-learning methods, particularly transformer-based models like Bidirectional Encoder Representations from Transformers (BERT), have recently received much attention. Currently, biomedical applications focused on...
Capture and representation of scientific knowledge in a structured format are essential to improve the understanding biological mechanisms involved complex diseases. Biological about standardized terminologies difficult capture from literature usable form. A semi-automated extraction workflow is presented that was developed allow users extract causal correlative relationships transcribe them into computable human readable Expression Language (BEL). The combines state-of-the-art linguistic...
Dengue is a serious public health concern worldwide, with ∼3 billion people at risk of contracting dengue virus (DENV) infections, some suffering severe consequences disease and leading to death. Currently, there no broad use vaccine or drug available for the prevention treatment dengue, which leaves only anti-mosquito strategies combat menace. The present study an extension our earlier aimed determining in vitro vivo protective effects plant-derived phytopharmaceutical dengue. In previous...
Prediction and understanding of virus-host protein-protein interactions (PPIs) have relevance for the development novel therapeutic interventions. In addition, virus-like particles open opportunities to deliver therapeutics targeted cell types tissues. Given our incomplete knowledge PPIs on one hand cost time associated with experimental procedures other, we here propose a deep learning approach predict PPIs. Our method (Siamese Tailored sequence Embedding Proteins [STEP]) is based recent...
Automatic extraction of biological network information is one the most desired and complex tasks in medical text mining. Track 4 at BioCreative V attempts to approach this complexity using fragments large-scale manually curated networks, represented Biological Expression Language (BEL), as training test data. BEL an advanced knowledge representation format which has been designed be both human readable machine processable. The specific goal track was evaluate mining systems capable...
Success in extracting biological relationships is mainly dependent on the complexity of task as well availability high-quality training data. Here, we describe new corpora systems biology modeling language BEL for and testing relationship extraction that prepared BioCreative V track. was designed to capture not only between proteins or chemicals, but also complex events such processes disease states. A nanopub smallest unit information represents a with its provenance. In (called...
To identify the optimal dose of selinexor in combination with pomalidomide and dexamethasone (SPd). An analysis efficacy safety 2 once-weekly regimens (60 mg 40 mg) (SPd-60 SPd-40, respectively) given to patients relapsed/refractory multiple myeloma (RRMM) STOMP (NCT02343042) XPORT-MM-028 (NCT04414475) trials. Twenty-eight (60.7% males, median age 67.5 years) 20 (35.0% 65.5 were analyzed SPd-40 SPd-60 cohorts, respectively. Overall response rate was 50% (95% confidence interval [CI]...
Abstract MicroRNAs (miRNAs) play important roles in post-transcriptional processes and regulate major cellular functions. The abnormal regulation of expression miRNAs has been linked to numerous human diseases such as respiratory diseases, cancer, neurodegenerative diseases. Latest miRNA–disease associations are predominantly found unstructured biomedical literature. Retrieving these manually can be cumbersome time-consuming due the continuously expanding number publications. We propose a...