A5011769546- vaccines and immunoinformatics approaches
- Computational Drug Discovery Methods
- Vascular Anomalies and Treatments
- Lung Cancer Research Studies
- Dietary Effects on Health
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Treatments and Mutations
- COVID-19 Clinical Research Studies
- Statistical Methods in Clinical Trials
- Tracheal and airway disorders
- Genetic factors in colorectal cancer
- BRCA gene mutations in cancer
- Glycogen Storage Diseases and Myoclonus
- Cystic Fibrosis Research Advances
- Sharing Economy and Platforms
- Immunodeficiency and Autoimmune Disorders
- Genomics and Rare Diseases
- Malaria Research and Control
- Biosimilars and Bioanalytical Methods
- Lysosomal Storage Disorders Research
- Gut microbiota and health
- Child Nutrition and Feeding Issues
- Genetic Associations and Epidemiology
Birla Institute of Technology and Science, Pilani
2025
King's College School
2023-2024
King's College London
2020-2024
Imperial College London
2021-2023
NIHR Imperial Biomedical Research Centre
2023
Helix (United States)
2020
Guy's and St Thomas' NHS Foundation Trust
2020
St Thomas' Hospital
2020
Abstract A large set of antimalarial molecules ( N ~ 15k) was employed from ChEMBL to build a robust random forest (RF) model for the prediction antiplasmodial activity. Rather than depending on high throughput screening (HTS) data, tested at multiple doses against blood stages Plasmodium falciparum were used development. The open-access and code-free KNIME platform develop workflow train 80% data 12k). hyperparameter values optimized achieve highest predictive accuracy with nine different...
Pulmonary arteriovenous malformations (PAVMs) result in preventable complications demanding specialty care. Underlying hereditary haemorrhagic telangiectasia (HHT) can be identified by genetic testing, if the diagnosis is considered. Retrospectively reviewing 152 unrelated adults with genetically confirmed HHT due to ACVRL1 , ENG or SMAD4 we found that only 104/152 (68%) met a clinical of three Curaçao criteria. The diagnostic rate was similar for patients (104/137, 76%) one two (48/71, 68%;...
Recent guidance suggested modified DNA variant pathogenicity assignments based on genome-wide allele rarity. Different a priori probabilities of operate where patients already have clinical diagnoses, and are found to very rare in gene known cause their disease, compared predictive testing clinically unaffected individual. We tested new recommendations from the ClinGen Sequence Variant Interpretation Working Group for ClinVar-listed, loss-of-function variants meeting strong evidence...
e13556 Background: Immune checkpoint inhibitors (ICI) are used to manage patients with both small cell (SCLC) and non-small (NSCLC) lung cancer. However, ICI response rates often low, identifying that will benefit from ICIs can be challenging. The value of biomarkers predict response, such as PD-L1, Combined Positive Score (CPS) or tumor mutational burden (TMB) have been debated. Furthermore, the resources needed assess these may not available in many centres. Developing more accurate...
e21567 Background: Immune checkpoint inhibitor (ICI) related toxicity is common in melanoma patients, but identifying who will experience can be challenging. Precision medicine tools that accurately predict ICI could improve patient outcomes. This study aimed to use Machine Learning (ML) patients with melanoma. Methods: 384 datasets were available for started on immunotherapy between 2014-2023 a single, large regional cancer center Kent, U.K. Raw data was preprocessed using standard scaling...