January 2026

Background: Coronary angiography (CAG) is a cornerstone imaging modality for assessing coronary artery disease and guiding interventional treatment decisions. However, in real-world clinical settings, angiographic images are often characterized by complex lesion morphology, severe class imbalance, label uncertainty, and limited computational resources, posing substantial challenges to conventional deep learning approaches in terms of robustness and generalization.Methods: The proposed framework is built upon a pretrained convolutional neural network to construct a lightweight hybrid neural representation. A selective neural plasticity […]

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Table Of Links Abstract 1 Introduction 2 Background 3 Privacy-Relevant Methods 4 Identifying API Privacy-relevant Methods 5 Labels for Personal Data Processing 6 Process of Identifying Personal Data 7 Data-based Ranking of Privacy-relevant Methods 8 Application to Privacy Code Review 9 Related Work Conclusion, Future Work, Acknowledgement And References Data-based Ranking of Privacy-Relevant Methods Our data-based ranking is designed to identify and prioritize privacy-relevant methods in Java and JavaScript applications. This ranking process comprises several stages, as depicted […]

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We introduce a lightweight experimentation pipeline designed to lower the barrier for applying machine learning (ML) methods for classifying images in ecological research. We enable ecologists to experiment with ML models independently, thus they can move beyond off-the-shelf models and generate insights tailored to local datasets and specific classification tasks and target variables. Our tool combines a simple command-line interface for preprocessing, training, and evaluation with a graphical interface for annotation, error analysis, and model comparison. This design […]

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Gowtham Reddy Kunduru is a lead software engineer with a successful career spanning healthcare, FinTech, and cloud architecture. His success wasn’t always assured; in fact, as he puts it, his “story began with setbacks.”  In college, I was written off as someone who would never amount to much. Being detained twice was humiliating, but it became the turning point in my life. I realized that if I didn’t take control, no one else would. So, I rebuilt myself […]

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With the rapid advancement and strong generalization capabilities of large language models (LLMs), they have been increasingly incorporated into the active learning pipelines as annotators to reduce annotation costs. However, considering the annotation quality, labels generated by LLMs often fall short of real-world applicability. To address this, we propose a novel active learning framework, Mixture of LLMs in the Loop Active Learning, replacing human annotators with labels generated through a Mixture-of-LLMs-based annotation model, aimed at enhancing LLM-based annotation […]

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Drug-drug interaction (DDI) prediction is central to drug discovery and clinical development, particularly in the context of increasingly prevalent polypharmacy. Although existing computational methods achieve strong performance on standard benchmarks, they often fail to generalize to realistic deployment scenarios, where most candidate drug pairs involve previously unseen drugs and validated interactions are scarce. We demonstrate that proximity in the embedding spaces of prevailing molecule-centric DDI models does not reliably correspond to interaction labels, and that simply scaling up […]

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Mumbai, India, Jan 5, 2026: India’s digital transformation journey has moved decisively from vision to execution. As enterprises and government bodies race to modernize operations, adopt AI at scale, and secure increasingly complex digital ecosystems, the need for real-world strategies, peer learning, and trusted platforms has never been greater. Answering this moment, Exito Media Concepts presents the 43rd Edition of the Digital Transformation Summit India 2026, a flagship, in-person gathering bringing together India’s most influential CIOs, CISOs, and […]

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