Jacob O. Spiegel, Jacob D. Durrant
Journal of Cheminformatics·
2020·
cited by 171
Generating novel drug-like molecules and optimizing existing lead compounds is slow and costly in drug discovery.
Begüm D. Topçuoğlu, Nicholas A. Lesniak, Mack T. Ruffin, Jenna Wiens, Patrick D. Schloss
mBio·
2020·
cited by 265
Machine-learning disease classifiers in microbiome studies are often overoptimistic, irreproducible, and hard to interpret.
Mulugeta Haile, Edward L. Zhu, Christopher D. Hsu, Natasha Bradley
Structural Health Monitoring·
2019·
cited by 29
Acoustic emission damage-detection algorithms can be deceived by reflected waves modulated by structural boundaries, so these reflections must be identified before damage can be located reliably.
Details
Source
model: LSTM recurrent neural network; convolution...
Joon Yul Choi, Tae Keun Yoo, Jeong Gi Seo, Jay Jiyong Kwak, Terry Taewoong Um, Tyler Hyungtaek Rim
PLoS ONE·
2017·
cited by 282
Medicine & Health
Retinal Imaging and Analysis
partially solved
importance 4/10
scale stated
Automated detection of multiple retinal diseases from fundus photographs using computer-aided diagnosis.
Kiri L. Wagstaff, Benyang Tang, David R. Thompson, Shakeh Khudikyan, Jane Wyngaard, Adam T. Deller, Divya Palaniswamy, Steven John Tingay et al.
Publications of the Astronomical Society of the Pacific·
2016·
cited by 44
Physics & Astronomy
Radio Astronomy Observations and Technology
ai assisted
importance 4/10
scale stated
Fast transient searches like V-FASTR on the Very Long Baseline Array produce huge numbers of candidate detections that burden astronomers with manual review time.
Bin Jiang, Hua Guo
The Journal of Chemical Physics·
2014·
cited by 151
Constructing highly accurate potential energy surfaces for molecule-surface interactions was difficult, hindering simulation of reactions at surfaces.
Details
Source
model: Permutation invariant polynomial-neural ne...
Matthias Ganzinger, Nicola Kunz, Pascal Fuchs, Cornelia K Lyu, Martin Loos, Martin Dugas, Thomas Moritz Pausch
Scientific Reports·
2025·
cited by 53
Medicine & Health
Artificial Intelligence in Healthcare and Education
ai assisted
importance 4/10
scale stated
Writing discharge summaries is time-consuming for physicians; this study tested automating generation of German discharge summaries from structured clinical data.
Assaf Shmuel, Oren Glickman, Teddy Lazebnik
Machine Learning Science and Technology·
2024·
cited by 19
Mathematics
Evolutionary Algorithms and Applications
solved
importance 4/10
scale stated
Manually designing input features for machine and deep learning regression models relies on domain expertise and limits predictive performance.
Jan‐Niklas Eckardt, Waldemar Hahn, Christoph Röllig, Sebastian Stasik, Uwe Platzbecker, Carsten Müller‐Tidow, Hubert L. Serve, Claudia Dorothea Baldus et al.
npj Digital Medicine·
2024·
cited by 64
Medicine & Health
Artificial Intelligence in Healthcare and Education
partially solved
importance 4/10
scale stated
Clinical research is hindered by the high cost of collecting large patient datasets and privacy/regulatory barriers to accessing existing data.
Delia Velasco-Montero, Jorge Fernández‐Berni, Ricardo Carmona‐Galán, Ariadna Sanglas, Francisço Palomares
Ecological Informatics·
2024·
cited by 39
Camera traps produce large image volumes that normally require off-site manual or desktop processing, hindering reliable on-site wildlife monitoring.
Hao Chen, Frederick J. King, Bin Zhou, Yu Wang, Carter J. Canedy, Joel Hayashi, Yang Zhong, Max W. Chang et al.
Nature Communications·
2024·
cited by 95
Medicine & Health
Computational Drug Discovery Methods
partially solved
importance 4/10
scale stated
Machine learning analyses of gene signatures rely on matching gene identities and ignore preexisting knowledge of gene functions, limiting compound-target prediction and mechanism-of-action studies.
Sanguk Park
Buildings·
2023·
cited by 14
Smart homes collect redundant sensor data, and homeowners lack tools to predict HVAC power use and save energy.
Yanyan Diao, Dandan Liu, Huan Ge, Rongrong Zhang, Kexin Jiang, R. BAO, Xiaoqian Zhu, Hongjie Bi et al.
Nature Communications·
2023·
cited by 56
Generating macrocyclic analogues of bioactive acyclic molecules is difficult due to vast chemical space.
Longlong Wu, Seong‐Min Bak, Youngho Shin, Yong S. Chu, Shinjae Yoo, Ian Robinson, Xiaojing Huang
npj Computational Materials·
2023·
cited by 22
X-ray fluorescence microscopy resolution is limited by the X-ray probe size, unlike diffraction-limited ptychography.
Jie Yang, Muthukumar Bagavathiannan, Yundi Wang, Yong Chen, Jialin Yu
Weed Technology·
2022·
cited by 30
Farmers need automated ways to detect weeds growing among alfalfa crops so control measures can be targeted.
Asad Ali Shahid, Dario Piga, Francesco Braghin, Loris Roveda
Autonomous Robots·
2022·
cited by 66
Programming robots to perform continuous-control object manipulation tasks and adapt them to changed environments is difficult and slow.
Weilin Luo, Ruijuan Yang, Hongbin Jin, Xiaobai Li, Hao Li, Kangbo Liang
IET Radar Sonar & Navigation·
2022·
cited by 29
Separating mixed radar, communication and jamming signals from a single channel in integrated electronic systems, where traditional methods have low accuracy and poor robustness.
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn et al.
Medical Image Analysis·
2022·
cited by 50
Medicine & Health
Image and Video Quality Assessment
partially solved
importance 4/10
scale stated
Medical images vary in usefulness for downstream ML tasks; a method was needed to assess task amenability and adapt quickly to new datasets.
Andrea Di Gioacchino, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco et al.
PLoS Computational Biology·
2022·
cited by 41
Obtaining aptamer binders via SELEX requires multiple rounds of experimental selection, and predicting which sequences will bind is difficult.
Yu-Yi Lin, Wei-Zhong Zheng, Wei Chu, Ji-Yan Han, Ying-Hsiu Hung, Guan‐Min Ho, Chia-Yuan Chang, Ying-Hui Lai
Applied Sciences·
2021·
cited by 35
Medicine & Health
Speech Recognition and Synthesis
partially solved
importance 4/10
scale stated
Dysarthric patients struggle to use voice control on mobile devices, and existing ASR systems require large computation, raising implementation costs.
Matthew Q. Miller, Tessa A. Hadlock, Emily Fortier, Diego L. Guarín
Plastic & Reconstructive Surgery·
2020·
cited by 75
Medicine & Health
Facial Nerve Paralysis Treatment and Research
partially solved
importance 4/10
scale stated
Facial palsy assessment relied on subjective, nonstandardized clinician-graded scales prone to observer bias, making treatment comparison unreliable.
Thorsten Hoeser, Felix Bachofer, Claudia Kuenzer
Remote Sensing·
2020·
cited by 177
Extracting fine-grained features and objects from very high resolution Earth observation data is needed to better understand land-surface dynamics.
Florian Dupuy, Olivier Mestre, Mathieu Serrurier, Valentín Kivachuk Burdá, Michaël Zamo, Naty Citlali Cabrera-Gutiérrez, Mohamed Chafik Bakkay, Jean‐Christophe Jouhaud et al.
Weather and Forecasting·
2020·
cited by 40
Climate & Environment
Meteorological Phenomena and Simulations
partially solved
importance 4/10
scale stated
Numerical weather prediction models have significant biases in cloud cover forecasts, a hard-to-forecast variable needed for planning land observation missions from space.
Laurynas Pipiras, Rytis Maskeliūnas, Robertas Damaševičius
Computers·
2019·
cited by 12
Software & Coding
Speech Recognition and Synthesis
solved
importance 4/10
scale stated
Automatic speech recognition for Lithuanian had attracted little research, and models built for languages like English could not be directly adopted due to complicated language structure and scarce data.