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Although reproducibility is a core tenet of the scientific method, it remains challenging to reproduce many results. Surprisingly, this also holds true for computational results in domains such as systems biology where there have been…

Quantitative Methods · Quantitative Biology 2021-04-13 Michael L. Blinov , John H. Gennari , Jonathan R. Karr , Ion I. Moraru , David P. Nickerson , Herbert M. Sauro

The design of algorithms that generate personalized ranked item lists is a central topic of research in the field of recommender systems. In the past few years, in particular, approaches based on deep learning (neural) techniques have…

Information Retrieval · Computer Science 2021-01-08 Maurizio Ferrari Dacrema , Simone Boglio , Paolo Cremonesi , Dietmar Jannach

Computational reproducibility is a growing problem that has been extensively studied among computational researchers and within the signal processing and machine learning research community. However, with the changing landscape of signal…

Signal Processing · Electrical Eng. & Systems 2022-02-16 Joseph Shenouda , Waheed U. Bajwa

Modern technology for producing extremely bright and coherent X-ray laser pulses provides the possibility to acquire a large number of diffraction patterns from individual biological nanoparticles, including proteins, viruses, and DNA.…

Methodology · Statistics 2018-07-11 Stefan Engblom , Carl Nettelblad , Jing Liu

Cryopreservation is beset with the challenge of protocol alignment across a wide range of cell types and process variables. By taking a cross-sectional assessment of previously published cryopreservation data (sample means and standard…

Quantitative Methods · Quantitative Biology 2014-04-08 S Sambu

The reproduction and replication of research results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the challenges closely revolve around…

Software Engineering · Computer Science 2017-07-31 Tom Crick , Benjamin A. Hall , Samin Ishtiaq

Synthetic biologists have made great progress over the past decade in developing methods for modular assembly of genetic sequences and in engineering biological systems with a wide variety of functions in various contexts and organisms.…

The field of ageing science has gone through remarkable progress in recent decades, yet many fundamental questions remain unanswered or unexplored. Here we present a curated list of 100 open problems in ageing and longevity science. These…

This paper presents advancements in automated early-stage prediction of the success of reprogramming human induced pluripotent stem cells (iPSCs) as a potential source for regenerative cell therapies.The minuscule success rate of…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Abhineet Singh , Ila Jasra , Omar Mouhammed , Nidheesh Dadheech , Nilanjan Ray , James Shapiro

Our planet is experiencing an accelerated process of change associated to a variety of anthropogenic phenomena. The future of this transformation is uncertain, but there is general agreement about its negative unfolding that might threaten…

Adaptation and Self-Organizing Systems · Physics 2014-11-24 Ricard Solé

Reproducibility is one of the core dimensions that concur to deliver Trustworthy Artificial Intelligence. Broadly speaking, reproducibility can be defined as the possibility to reproduce the same or a similar experiment or method, thereby…

Artificial Intelligence · Computer Science 2023-02-27 Riccardo Albertoni , Sara Colantonio , Piotr Skrzypczyński , Jerzy Stefanowski

RNA molecules are essential cellular machines performing a wide variety of functions for which a specific three-dimensional structure is required. Over the last several years, experimental determination of RNA structures through X-ray…

Biomolecules · Quantitative Biology 2015-06-11 Tristan Cragnolini , Philippe Derreumaux , Samuela Pasquali

Catastrophic forgetting has been the leading issue in the domain of lifelong learning in artificial systems. Current artificial systems are reasonably good at learning domains they have seen before; however, as soon as they encounter…

Machine Learning · Computer Science 2024-12-02 Ram Zaveri

The cryopreservation of biological materials is a highly complex process, as it involves numerous factors such as the cooling and thawing procedures, the administration of cryoprotective agents (CPAs), as well as the type and composition of…

Other Quantitative Biology · Quantitative Biology 2025-12-25 Jack Lee Jennings , Sanja Bojic , Lukas Breitwieser , Alex Sharpe , Roman Bauer

Blood biomarkers are an essential tool for healthcare providers to diagnose, monitor, and treat a wide range of medical conditions. Current reference values and recommended ranges often rely on population-level statistics, which may not…

Machine Learning · Computer Science 2024-07-11 A. Ali Heydari , Naghmeh Rezaei , Javier L. Prieto , Shwetak N. Patel , Ahmed A. Metwally

In biomedical research, validation of a new scientific discovery is tied to the reproducibility of its experimental results. However, in genomics, the definition and implementation of reproducibility still remain imprecise. Here, we argue…

Function and dysfunctions of neural systems are tied to the temporal evolution of neural states. The current limitations in showing their causal role stem largely from the absence of tools capable of probing the brain's internal state in…

Neurons and Cognition · Quantitative Biology 2024-09-24 Ayesha Vermani , Matthew Dowling , Hyungju Jeon , Ian Jordan , Josue Nassar , Yves Bernaerts , Yuan Zhao , Steven Van Vaerenbergh , Il Memming Park

Biomarker discovery is vital in advancing personalized medicine, offering insights into disease diagnosis, prognosis, and therapeutic efficacy. Traditionally, the identification and validation of biomarkers heavily depend on extensive…

Machine Learning · Computer Science 2024-09-25 Wangyang Ying , Dongjie Wang , Xuanming Hu , Ji Qiu , Jin Park , Yanjie Fu

Creating autonomous, self-supporting, self-replicating, sustainable systems is a great challenge. To some extent, understanding life means not only being able to create it from scratch, but also improving, supporting, saving it, or even…

Robotics · Computer Science 2011-11-07 Serge Kernbach

This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon has its foundations in advances in neuromorphic technologies…

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