Shikha Singhal

Complicated intra-abdominal fibromatosis masked by a perforated jejunal diverticulitis

Sadik Al-Hassani, Osama Zaman, Adrian Hall, Shikha Singhal et autres

Desmoid-type fibromatosis is a rare group of locally aggressive fibroblastic proliferations of connective tissue. The incidence of synchronous intra-abdominal fibromatosis and jejunal diverticulitis is unreported. Both conditions typically present with non-specific symptoms and can be challenging to diagnose. We present the case …

gb, fr (code pays fourni par la source)

H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation

Cher Bass, Foivos Ntelemis, Julian Schmidt, Steffen Wolf et autres

Mismatch repair (MMR) deficiency occurs in 10-20% of colorectal cancer (CRC) cases, leading to microsatellite instability (MSI). Although MSI/MMR testing is critical for CRC management, high costs and long turnaround times limit testing rates and clinical utility, highlighting the need for more …

gb, us, de (code pays fourni par la source)

Identifying key predictors of MSI/MMR status in colorectal cancer: Insights from a real-world clinical dataset.

Cher Bass, Steffen Wolf, Foivos Ntelemis, André Geraldes et autres

e15718 Background: Microsatellite instability (MSI) and mismatch repair (MMR) testing is critical for guiding therapeutic decisions in colorectal cancer (CRC). Despite their clinical importance, routine MSI/MMR testing faces significant challenges, including high costs, long turnaround times, and pathology workforce shortages. Artificial intelligence …

gb (code pays fourni par la source)

Multi-site blinded validation of a deep learning approach for clinical-grade MSI/dMMR detection in colorectal cancer from H&E-stained pathology images.

Cher Bass, Steffen Wolf, Foivos Ntelemis, André Geraldes et autres

44 Background: Testing for microsatellite instability (MSI) or mismatch repair deficiency (dMMR) is part of the diagnosis and clinical management of patients with colorectal cancer (CRC). Healthcare services recommend MSI or dMMR testing for all CRC patients to guide therapeutic choices and …

gb (code pays fourni par la source)

Abstract PO3-07-05: Multi-site validation of a deep learning solution for ER/PR profiling of breast cancer from H&E-stained pathology slides

Salim Arslan, Adrián Bazaga, Gareth Bryson, Oscar Carlos et autres

Abstract Background: Molecular profiling of estrogen and progesterone receptors (ER/PR/Her2) is performed for all malignant breast cancers to inform the choice of targeted therapy. Though existing scoring systems are widely used and well-validated, they can involve costly preparation and variable interpretation. Additionally, …

gb (code pays fourni par la source)

A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images

Salim Arslan, Julian Schmidt, Cher Bass, Debapriya Ghosh Mehrotra et autres

BACKGROUND: The objective of this comprehensive pan-cancer study is to evaluate the potential of deep learning (DL) for molecular profiling of multi-omic biomarkers directly from hematoxylin and eosin (H&E)-stained whole slide images. METHODS: A total of 12,093 DL models predicting 4031 multi-omic …

gb, de (code pays fourni par la source)

Deep learning can predict multi-omic biomarkers from routine pathology images: A systematic large-scale study

Salim Arslan, Debapriya Ghosh Mehrotra, Julian Schmidt, André Geraldes et autres

Abstract We assessed the pan-cancer predictability of multi-omic biomarkers from haematoxylin and eosin (H&E)-stained whole slide images (WSI) using deep learning (DL) throughout a systematic study. A total of 13,443 DL models predicting 4,481 multi-omic biomarkers across 32 cancer types were trained …

gb, de (code pays fourni par la source)

Evaluation of a predictive method for the H&E-based molecular profiling of breast cancer with deep learning

Salim Arslan, Xiusi Li, Julian Schmidt, Julius Hense et autres

Abstract We present a public validation of PANProfiler (ER, PR, HER2), an in-vitro medical device (IVD) that predicts the qualitative status of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) by analysing the hematoxylin and eosin …

gb (code pays fourni par la source)

Context Awareness for Healthcare Service Delivery with Intelligent Sensors

Shikha Singhal, Adwitiya Sinha, Buddha Singh

in (code pays fourni par la source)

Underwater Drones for Acoustic Sensor Network

Meeta Sharma Gupta, Adwitiya Sinha, Shikha Singhal

in (code pays fourni par la source)

Ant Colony Optimization based Routing for Underwater Sensor Network

Shikha Singhal, Shairal Tanwar, Aishwarya, Adwitiya Sinha

Apparently, two-thirds of our planet is covered by water bodies, of which oceanic coverage deeply impacts the terrestrial life. Oceans form majestic resource of most of the amazing marine creatures and natural resources, especially mineral oil. This makes underwater monitoring one of …

in (code pays fourni par la source)

The value of grading dysplasia in appendiceal mucinous neoplasm in the absence of pseudomyxoma peritonei

Shikha Singhal, Francisco Giner, Thomas G. Barnes, Roel Hompes et autres

The authors declare no conflicts of interest.

gb, es, sg (code pays fourni par la source)