7 papers · ranked by Valyu relevance
Fabio Cumbo, Kabir Dhillon, M. Hassan Najafi, Sercan Aygun + 1 more
The exponential growth of genomic databases necessitates alignment-free methods for comparing genomes. While MinHash-based tools have revolutionized this field by efficiently estimating the Average Nucleotide Identity based on k-mer sets, they inherently discard structural genomic information. We introduce HyperSketch…
Matteo Farina, Pietro Zamberlan, Arno Onken, Ulisse Ferrari
For datasets with thousands of neurons and images, vision transformers have proven successful at predicting neural responses to stimuli. However, they are expected to underperform in low-data regimes, where CNNs and Gaussian processes are considered more effective. We ask whether transformers can be made competitive…
Hiroyuki Kusano, Takayuki Shiomi
Digital pathology has rapidly expanded over the past decade, driven by advances in whole-slide imaging and increasing demand for remote and data-integrated diagnostic workflows. However, many implementations remain limited to partial digitization, without fundamentally transforming laboratory and diagnostic processes.…
Hayden Johnson, Boris A. Vinatzer, Reza Mazloom, Kassaye Belay + 2 more
Rapid and accurate microbial identification is critical for interpreting biological data in basic research and when making applied decisions on how to effectively treat patients and control human, animal, and plant diseases. Advancements in high-throughput sequencing have the potential to expedite fungal species…
Akemi Morohashi, Satoshi Yamashita, Takahiro Imaizumi, Takuto Sano + 3 more
4.1### Categorization of Evaluability Evaluability varied according to the extent to which observed data characteristics could be verified and explained using information available within the operational environment. Based on the combined outcomes of empirical verification (Step 1) and contextual explanation (Step 2)…
Panagiotis Douris, George Kodovazenitis
The integration of artificial intelligence (AI) into dentistry is reshaping clinical workflows, opening new possibilities for population-level public health monitoring. Machine learning approaches, such as convolutional neural networks and other deep learning architectures, are becoming more and more capable to exhibit…
Maria Juliana Rodriguez-Cubillos, Tomasz Zieliński, Jason R. Swedlow, T. Ian Simpson + 1 more
Ensuring the availability and accessibility of research data is fundamental to advancing knowledge, as codified in the FAIR principles (Findable, Accessible, Interoperable, and Reusable). Accurate metadata documentation is indispensable for meeting these principles; however, entries in deposition databases often…