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Profil bibliographique

Pradyumna Shejwalkar

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

16Publications signalées
23Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Cancer Cells and MetastasisAI in cancer detectionCancer Genomics and DiagnosticsRadiomics and Machine Learning in Medical ImagingGlioma Diagnosis and Treatment

Les publications récentes

Accès ouvert 2026 article OpenAlex

Attention U-Net-Based Segmentation and Hybrid Classification for Detection of Circulating Tumor-Associated Cells

Massimo Cristofanilli, Sewanti Limaye, Nitesh Rohatgi, T Crook et autres

Background/Objectives: Circulating tumor-associated cells (CTACs) are rare among peripheral blood nucleated cells (PBNCs), creating a challenge for image-based multi-cancer detection. We evaluated a predefined CTAC-detection pipeline incorporating Attention U-Net segmentation, post-processing, cytological feature extraction, and Random Forest classification. Methods: Model suitability was …

us, in, gb, ae (code pays fourni par la source)

0 citations Cancers
Accès ouvert 2026 preprint OpenAlex

Attention-Enhanced U-Net Segmentation for Reliable Detection of Circulating Tumor-Associated Cells

Massimo Cristofanilli, Sewanti Limaye, Nitesh Rohatgi, Timothy Crook et autres

Abstract Background Circulating tumor associated cell (CTAC) detection-based multi-cancer early detection (MCED) strategies may be hindered by the rarity of CTACs among millions of peripheral blood nucleated cells (PBNCs). We developed an advanced U-Net-based encoder-decoder model for pixel-level CTAC discrimination that integrates …

us, in, gb, ae (code pays fourni par la source)

0 citations medRxiv
Accès ouvert 2025 conference-abstract OpenAlex

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection.

Rajan Datar, Massimo Cristofanilli, Darshana Patil, Vineet Datta et autres

3060 Background: Tumor educated Polymorphonuclear Granulocytes (tPMNG) are a distinct phenotypic set of Neutrophils (N2) with corrupted programmed death pathways resulting in apoptosis resistance. The presence of tPMNGs in the peripheral blood indicates up-regulation of pro-tumoral factors and resistance to apoptotic signals. …

in, us (code pays fourni par la source)

0 citations Journal of Clinical Oncology
Accès ouvert 2024 conference-abstract OpenAlex

Pre- and post-radical surgery comparative quantification of circulating tumor cells and circulating tumor-associated cells.

Rajan Datar, Vineet Datta, Dadasaheb B. Akolkar, Rohit A. Chougule et autres

e15056 Background: Classical Circulating Tumor Cells (CTCs) are defined as EPCAM+, PanCK+, CD45-, whereas, Circulating Tumor Associated Cells (CTACs) are defined as EPCAM+, PanCK+, CD45+/-. CTACs comprise a heterogenous mix of tumor-associated cells including classical CTCs, cancer stem cells, circulating micro-emboli, tumor …

in, us (code pays fourni par la source)

0 citations Journal of Clinical Oncology
Accès ouvert 2024 conference-abstract OpenAlex

Enhancing cancer detection through AI-driven high content analysis of circulating tumor cells.

Sachin Apurwa, Muqeet Shaikh, Sagar Devhad, Shoeb R. Patel et autres

3054 Background: The advancements in automated High Content Analysis (HCA) for Circulating Tumor Cells (CTCs) detection necessitate the integration of high-throughput screening (HTS) and Artificial Intelligence (AI) to improve cancer diagnosis efficiency and accuracy. Traditional approaches to cancer detection have faced limitations …

in, us (code pays fourni par la source)

2 citations Journal of Clinical Oncology
Accès ouvert 2023 article OpenAlex

Accurate prostate cancer detection based on enrichment and characterization of prostate cancer specific circulating tumor cells

Sewanti Atul Limaye, Simon Chowdhury, Nitesh Rohatgi, Anantbhushan A. Ranade et autres

BACKGROUND: The low specificity of serum PSA resulting in the inability to effectively differentiate prostate cancer from benign prostate conditions is a persistent clinical challenge. The low sensitivity of serum PSA results in false negatives and can miss high-grade prostate cancers. We …

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

21 citations Cancer Medicine
2021 conference-abstract OpenAlex

Abstract PS2-40: Analytical and clinical validation of the trucheck™ platform for diagnostic triaging of symptomatic cases suspected of breast cancer

Dadasaheb B. Akolkar, Darshana Patil, Pooja Fulmali, Revati Patil et autres

Abstract Background: trucheckTM is a non-invasive micro-biopsy-like approach for diagnostic triaging of symptomatic individuals suspected of Breast Cancer. trucheckTM is based on the detection of Circulating Ensembles of Tumor Associated Cells (C-ETACs: EpCAM+, Pan-CK+, CD45±) of Breast Cancer origin (GCDFP15+, GATA3+); such …

in (code pays fourni par la source)

0 citations Cancer Research
2021 conference-abstract OpenAlex

Abstract PS3-13: Non-invasive screening for breast cancer risk based on circulating ensembles of tumor associated cells

Dadasaheb B. Akolkar, Darshana Patil, Pooja Fulmali, Revati Patil et autres

Abstract Background: Common modalities for breast cancer screening include self-breast examination (SBE) for detection of palpable lumps as well as Mammography scans for detection of suspicious nodules or masses. While both approaches have low specificity, SBE has lower sensitivity for early stage …

in (code pays fourni par la source)

0 citations Cancer Research
2021 conference-abstract OpenAlex

Analytical and clinical validation of the TruCheck platform for diagnostic triaging of symptomatic cases suspected of colorectal cancer.

Dadasaheb B. Akolkar, Darshana Patil, Pooja Fulmali, Revati Patil et autres

24 Background: Trucheck is a non-invasive approach for diagnostic triaging of symptomatic individuals who are suspected of Colorectal Cancer (CRC) and have been advised an invasive biopsy. Trucheck evaluates blood samples for presence of Circulating Ensembles of Tumor Associated Cells (C-ETACs: EpCAM+, …

in (code pays fourni par la source)

0 citations Journal of Clinical Oncology

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