25 papers · ranked by Valyu relevance
Nathan T Jacobs
Organisms are complex biological entities that are less easily defined by specific structures or sequences than molecules, nucleic acids, and antibodies. Nor are they necessarily fixed in time or reproducible by repeatable methods, given their capacity for replication and mutation. Like organisms themselves, names and…
Tarneem Elemam, Hosam Refaat, Mohamed Makhlouf
Coronary artery disease (CAD), where the heart does not get enough oxygen-rich blood due to a buildup of fatty matter, is a leading cause of death worldwide. Since its symptoms may not be recognized until a cardiac attack occurs, its early diagnosis is crucial. In this paper, we introduce the SHAP Optimized Wrapper…
Serghei Musaji, Pamela Kibsey, Andrei Musaji
This paper reflects on the development and performance of an advanced artificial intelligence (AI) algorithm for the automated processing and classification of Gram stain images obtained from actual microbiology samples used in clinical microbiology. The aim of the project was to effectively categorize non-standardized…
Youran Sun, Sepanta Zeighami, Bhavya Chopra, Shreya Shankar + 1 more
Semantic operators have increasingly become integrated within data systems to enable processing data using Large Language Models (LLMs). Despite significant recent effort in improving these operators, their accuracy is limited due to a critical flaw in their implementation: lack of holistic data understanding. In…
Johanna Orsholm, Alessandro Zito, Panu Somervuo, Mariana P Braga + 3 more
DNA barcoding and metabarcoding have emerged as cost-efficient, standardized methods for characterizing local biodiversity. Based on the sequencing of a small targeted gene fragment, it is theoretically possible to identify a wide diversity of taxa by comparing them with reference sequence databases. However, a key…
Johanna Orsholm, Alessandro Zito, Panu Somervuo, Jesse P Harrison + 6 more
DNA barcoding and metabarcoding have emerged as cost-efficient, standardized methods for characterizing local biodiversity. Based on the sequencing of a small targeted gene fragment, it is theoretically possible to identify a wide diversity of taxa by comparing them with reference sequence databases. However, a key…
Luis J. Vidal, Joan Carles Pons, Mateus B. Fiamenghi, Nikos Kyrpides + 1 more
Rapid expansion of viral sequence data demands classifiers that scale, track ICTV updates, and provide interpretable evidence. We present VPF-Class 2.0, an updated successor to VPF-Class, centred on the taxonomic classification, that retains marker-driven protein domain detection but replaces rule-based voting with a…
Authors not listed
Terminally labeled DNA oligonucleotides have wide applications in modern biology and biotechnological applications. It has been observed that the fluorescent intensity of light released from these fluorescent labels is heavily influenced by the terminal sequence of nucleotides. Recent studies have assayed and published…
Truong Thanh Hung Nguyen, Khanh Van Quynh Nguyen, Hoang-Loc Cao, Tri Duong + 4 more
Accurate Harmonized Tariff Schedule (HTS) code classification is essential for customs clearance, duty assessment, trade statistics, and regulatory compliance in maritime logistics. However, exact HTS classification remains challenging because product descriptions are often short, incomplete, or ambiguous, while…
Robert W. Pendergrass, Bhogendra Mishra
This study develops a new functional classification of metropolitan and micropolitan areas in the United States. The methodology used was based on the widely used locational quotient and the Coefficient of Specialization (also known as the Index of Divergence). Determining a specialty or which industrial category may…
Zeqiang Xian, Caihui Liu, Yong Zhang, Wenjing Qiu + 2 more
Existing granular-ball classification methods are often driven by handcrafted quality measures, neighborhood rules, or heuristic splitting and stopping criteria, which may reduce the transparency of local construction decisions and hinder explicit modeling of boundary-sensitive regions. To address this issue, this…
Osvaldo Velazquez-Gonzalez, Antonio Alarcón-Paredes, Cornelio Yañez-Marquez
Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning pattern classification can become a complex or even inexplicable task for current robust models due to the complexity of…
Zhuoyang Zhou, Alex I. Malz, Chad M. Schafer, Konstantin Malanchev + 2 more
The Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate a massive collection of time series (light curves) of the measured flux of transient and variable astronomical objects. With each new flux observation, light curve classifiers need to generate updated probability distributions…
Aashish Dhawan, Mudgal, Divyanshu
— the major challenge in today's computer vision scenario is the availability of good quality labeled data. In a field of study like image classification, where data is of utmost importance, we need to find more reliable methods which can overcome the scarcity of data to produce results comparable to previous benchmark…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Authors not listed
Monoterpene synthases (mTSs) are a large family of enzymes, which have promising industrial applications, yet remain difficult to engineer due to complex and poorly understood sequence-function relationships. Here, we present a structure-based machine learning (ML) framework that accurately predicts whether a mTS…
Chetan Puri, K. T. V. Reddy, Pradnyawant M. Gote
Introduction Fetal health monitoring is critical for early identification of pregnancy-related risks. Manual interpretation of cardiotocography (CTG) signals is subjective and variable among healthcare professionals. Methods A machine learning-based framework was developed to classify fetal health into Normal, Suspect…
Deepti Varshney, Mustafa Hisham Tajjar, Jan de Vries, Frank Hutter + 1 more
How morphological complexity evolves is still enigmatic. While there is evidence in algae and plants as well as animals that diversification of the repertoire of transcription factors (TF) is causative for evolution of organismal complexity, there are many examples from lineages that follow their own way of complexity…
Lorenzo Confalonieri, Adrián Pérez Salinas, Stefano Carrazza
In this work, we investigate the use of a quantum circuit as a binary classification model in the context of quantum machine learning. We call this model, binary quantum classifier. First, we describe fundamental concepts of quantum computing and introduce the computational tool used: Qibo, an open-source framework for…
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Transition-state (TS) identification for bimolecular liquid-phase reactions is notoriously sensitive to the initial spatial arrangement of reactants, making automated searches difficult, especially in solvation where conformational effects dominate barrier heights. We address this gap with a fully automated, heuristic…
Mateus Braga Oliveira, Heder Soares Bernardino, Alex Borges Vieira, Antônio Arbex Barroso + 1 more
The automated classification of animals from photos is important in ecology and conservation biology for organizing and understanding the immense diversity of species, as well as facilitating effective conservation and management practices. It is equally important for disease surveillance systems, allowing prompt…
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The amyloid-β (Aβ) peptides are crucial biomarkers for the diagnosis of Alzheimer's disease (AD), the most common neurodegenerative disease. The high diversity of the Aβ family provides a significant challenge for recognizing various Aβ forms, which may differ by a single amino acid or a post-translational…
Stuart G. Siddell
Typification, the linkage of a name-bearing “type” to a taxon and the description and deposition of a corresponding type specimen, has been a principle of biological taxonomy for over two centuries. It was introduced to promote nomenclatural uniformity and stability. Until recently, a modified form of typification was…
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Nickel/photoredox catalysis in cross-coupling reactions has recently emerged as a powerful tool for efficient C–C bond formation as it enables mild operating conditions, thus expanding synthetic scope to molecules of pharmaceutical interest. Successful routine implementation of such reactions is limited, due to the…
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RNA molecules fold into complex three-dimensional structures that determine their function. A wide range of mathematical frameworks, such as chord diagrams, fatgraphs, and context-free grammars, have been used to represent these structures; however, these models have largely been developed from mathematical motivations…