Collaboration will advance a next generation gene editing approach by combining Seamless’ expertise in developing highly precise and efficient recombinases with Lilly’s extensive development expertise ...
The partnership aims to provide curated access to credible science, responsible innovation, and practical frameworks ...
Two distinct subtypes, U-CLL C1 and U-CLL C2, were identified within IGHV-unmutated chronic lymphocytic leukemia, showing ...
The technique is called CLASSIC — an acronym for “combining long- and short-range sequencing to investigate genetic ...
EQT Foundation has invested in UK-based Biographica as part of its seed round, supporting the company’s machine learning platform for faster and more accurate crop gene discovery. Biographica’s ...
Abstract: Genetic programming (GP) has achieved promising results without relying on the extraction of prior knowledge, e.g., fixed network architecture. However, most existing GP methods guide the ...
Genetic risk models, including PREMMplus and BOADICEA/CanRisk, refine breast cancer risk assessment by incorporating genetic status and polygenic risk scores. Challenges in classifying gene variants, ...
Background: The prognosis of hypertrophic cardiomyopathy (HCM) varies by several factors, including imaging characteristics and genotype, reflecting underlying pathology. Traditional machine learning ...
Computer programming powers modern society and enabled the artificial intelligence revolution, but little is known about how our brains learn this essential skill. To help answer that question, Johns ...
Parametric Symbolic Regression (PSR) is a Python package that evolves symbolic expressions whose parameters can be optimized (e.g. with curve_fit or minimize). It combines genetic-programming style ...
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