Zuzanna Karwowska, Oliver Aasmets, Mait Metspalu, Andres Metspalu, Lili A. Milani, Tõnu Esko, Tomasz Kościółek, Elin Org
Microbiome·
2025·
cited by 37
Classifying healthy versus diseased individuals from gut microbiome data is difficult due to data sparsity, compositionality, and population-specificity.
Xiangru Tang, Bill Qian, Rick Gao, Jiakang Chen, Xinyun Chen, Mark Gerstein
Bioinformatics·
2024·
cited by 30
Software & Coding
Software Engineering Research
ai assisted
importance 4/10
scale stated
Large language models lacked a dedicated benchmark for generating bioinformatics-specific code involving domain knowledge, algorithms and data operations.
Feng Deng, Jianmiao Yi
Aerospace·
2023·
cited by 11
Inverse design of transonic airfoils—finding a shape that produces a prescribed pressure distribution—is computationally slow.
Myeong-Hyeon Yu, Ji-Seok Lee, Hak‐Sung Kim
Structural Health Monitoring·
2023·
cited by 10
Detecting structural damage in carbon fiber reinforced nylon composites and healing the detected damage.
Details
Source
model: artificial neural network (ANN)-based mach...
Randa Natraš, Benedikt S. Soja, Michael F. Schmidt
Space Weather·
2023·
cited by 17
Physics & Astronomy
Ionosphere and magnetosphere dynamics
ai assisted
importance 4/10
scale stated
ML-based ionosphere and space weather forecasts lacked uncertainty quantification, so the confidence and reliability of their results were unknown.
Xiaoya Ma, Mengxiu Li, Jin Tong, Xiaying Feng
Biomimetics·
2023·
cited by 21
Business & Industry
Forecasting Techniques and Applications
ai assisted
importance 4/10
scale stated
New energy vehicle enterprises need accurate demand forecasting as a decision-making basis.
Tej Bahadur Shahi, Sweekar Dahal, Chiranjibi Sitaula, Arjun Neupane, William W. Guo
Drones·
2023·
cited by 65
Farmers need to automatically detect weeds in crop fields from drone images so they can protect yields.
Daljeet S. Dhaliwal, Martin Williams
Precision Agriculture·
2023·
cited by 60
Predicting field-level sweet corn yield from crop genetics, management, weather, and soil data.
Rianne Conijn, Patricia K. Kahr, Chris C. P. Snijders
Journal of Learning Analytics·
2023·
cited by 76
Education & Everyday
Explainable Artificial Intelligence (XAI)
partially solved
importance 4/10
scale stated
It was unknown how explanations in automated essay scoring systems affect students' trust and motivation.
Shu Wang, Xixiang Liu, Yueying Li, Xinquan Sun, Qi Li, Yinhua She, Yixuan Xu, Xingxin Huang et al.
Nature Communications·
2023·
cited by 36
Stitched fluorescence microscope images contain stripes and artifacts from optics or specimens that degrade image quality and ruin downstream quantitative analysis.
Paul van Lent, Joep P. J. Schmitz, Thomas Abeel
ACS Synthetic Biology·
2023·
cited by 54
Biology & Life Sciences
Microbial Metabolic Engineering and Bioproduction
partially solved
importance 4/10
scale stated
No framework existed to consistently test machine learning methods across multiple design-build-test-learn cycles in combinatorial strain optimization.
Antonín Kunka, Sérgio M. Marques, Martin Havlásek, Michal Vasina, Nikola Velatova, Lucia Cengelova, David R. Kovar, Jiřı́ Damborský et al.
ACS Catalysis·
2023·
cited by 75
Industrial enzymes require thermostability, but designing stable variants of haloalkane dehalogenase DhaA115 is challenging.
Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
Autonomous Agents and Multi-Agent Systems·
2022·
cited by 18
Science & Research
Reinforcement Learning in Robotics
partially solved
importance 4/10
scale stated
Reinforcement learning agents often perform poorly when placed in novel environments or with unfamiliar co-players; the study quantified how training diversity affects this generalization problem.
Xun Gong, Nicholas Renegar, Retsef Levi, Michael S. Strano
npj Computational Materials·
2022·
cited by 26
Engineering & Materials
Advanced biosensing and bioanalysis techniques
partially solved
importance 4/10
scale stated
No generalized scheme exists to predict de novo the molecular recognition of DNA-SWCNT corona phases, due to their sequence-dependent three-dimensional complexity.
Fernando Palacios, María P. Diago, Pedro Melo‐Pinto, Javier Tardáguila
Precision Agriculture·
2022·
cited by 55
Predicting grapevine yield early in the season across different varieties to support wine industry yield assessment.
Matthew Tamasi, Roshan A. Patel, Carlos H. Borca, Shashank Kosuri, Heloise Mugnier, Rahul Upadhya, N. Sanjeeva Murthy, Michael E. Webb et al.
Advanced Materials·
2022·
cited by 177
Designing synthetic copolymers that stabilize proteins is difficult because the chemical and composition space is too vast for rational design.
Masayuki Tsuneki, Fahdi Kanavati
Diagnostics·
2021·
cited by 28
Identifying poorly differentiated colorectal adenocarcinoma in endoscopic biopsy whole slide images is difficult and could benefit from AI tools for pathologists.
Matthias C. Schmid, Dominik Altmann, Georg Steinbichler
Polymers·
2021·
cited by 18
Finding optimal machine settings for the plasticizing process in injection molding normally requires time-consuming, expensive physical trials.
Abhishek Malik, Benjamin P. Moster, Christian Obermeier
Monthly Notices of the Royal Astronomical Society·
2021·
cited by 36
Physics & Astronomy
Stellar, planetary, and galactic studies
ai assisted
importance 4/10
scale stated
Conventional algorithm-based approaches for detecting exoplanets via the transit method needed improvement.
Qi Gao, Shaowu Pan, Hongping Wang, Runjie Wei, Jinjun Wang
Advances in Aerodynamics·
2021·
cited by 43
3D particle reconstruction from limited 2D projections in volumetric PIV is an under-determined inverse problem that iterative methods solve only approximately.
Zafran Hussain Shah, Marcel W. Muller, Tung-Cheng Wang, Philip Maurice Scheidig, Axel Schneider, Mark Schüttpelz, Thomas R. Huser, Wolfram Schenck
Photonics Research·
2021·
cited by 96
Noisy raw images in super-resolution structured illumination microscopy (SR-SIM), e.g. from low excitation power or short exposure, cause reconstruction artifacts.
C. Stachie, M. W. Coughlin, Nelson L Christensen, Daniel Muthukrishna
Monthly Notices of the Royal Astronomical Society·
2020·
cited by 18
Large gravitational-wave sky localization regions produce many transient candidates that must be prioritized given restricted telescope time.
Benjamin Lutz, Dominik Kißkalt, Andreas Mayr, Daniel Regulin, Matteo Pantano, Jörg E. Franke
Journal of Intelligent Manufacturing·
2020·
cited by 16
Engineering & Materials
Advanced machining processes and optimization
partially solved
importance 4/10
scale stated
Batches of the same specified material differ in machinability, and unidentified differences reduce product quality and raise manufacturing costs.
Jin-Ah Sim, Young Ae Kim, Ju Han Kim, Jong Mog Lee, Moon Soo Kim, Young Mog Shim, Jae Ill Zo, Young Ho Yun
Scientific Reports·
2020·
cited by 63
Medicine & Health
Lung Cancer Diagnosis and Treatment
ai assisted
importance 4/10
scale stated
Predicting 5-year survival among lung cancer survivors, and whether health-related quality of life (HRQOL) data improves prediction beyond clinical and sociodemographic variables.