Luis Fernando Salas Nuñez, Álvaro Barrera-Ocampo, Paola A. Caicedo, Natalie Cortés, Edison H. Osorio, María Francisca Villegas-Torres, Andrés Fernando González Barrios
Metabolites·
2024·
cited by 45
Experimentally determining enzyme-substrate interactions is slow and costly, and physics-based simulations are too slow for large search spaces.
Khurram Shaikh, Imtiaz Hussain Kalwar, Bhawani Shankar Chowdhry
Sensors·
2023·
cited by 26
Detecting railway wheel defects early despite interfering vibrations that cause false alarms during operation.
Le Gao, Kun Wang, Xin Zhang, Chen Wang
Sustainability·
2023·
cited by 15
Science & Research
Geochemistry and Geologic Mapping
partially solved
importance 5/10
scale stated
Predicting ore deposit locations is hindered by scarce labeled geological images, small irregular features with high image similarity, and hard-to-quantify prospecting factors.
Timothy Herzog, Milan Brandt, Adrian Trinchi, Antonella Sola, Andrey Molotnikov
Journal of Intelligent Manufacturing·
2023·
cited by 239
Laser-based metal additive manufacturing (PBF-LB/M, DED-LB/M) frequently forms defects and existing machines lack closed-loop control, making processes hard to control.
Muhammad Yaqub, Jinchao Feng, Shahzad Ahmed, Kaleem Arshid, Muhammad Atif Bilal, Muhammad Pervez Akhter, Muhammad Sultan Zia
Applied Sciences·
2022·
cited by 28
Medicine & Health
Advanced MRI Techniques and Applications
partially solved
importance 5/10
scale stated
GAN-based MRI reconstruction from under-sampled data normally requires large training sets of raw k-space patient data, which is difficult to gather in clinical practice.
Nier Wang, Zhanming Li
Journal of Renewable and Sustainable Energy·
2022·
cited by 13
Traditional short-term wind power forecasting struggles with large, highly volatile time-series data and limited processing capacity.
Shubhangi Nema, Leena Vachhani
Frontiers in Robotics and AI·
2022·
cited by 38
Medicine & Health
Surgical Simulation and Training
ai assisted
importance 5/10
scale stated
Assessing surgeons' technical skill from video is time-consuming and subjective, and labeling raw surgical video datasets for skill analysis is hard.
Dana J. Lin, Sven S. Walter, Jan Marie Fritz
Investigative Radiology·
2022·
cited by 81
Medicine & Health
Advanced MRI Techniques and Applications
ai assisted
importance 5/10
scale stated
Long MRI pulse sequence acquisition times restrict patient tolerability and access in musculoskeletal imaging.
Details
Source
model: Deep learning-based image reconstruction (...
Scott Leorna, Todd J. Brinkman
Ecological Informatics·
2022·
cited by 64
Ecologists must review enormous volumes of camera trap images to identify wildlife, which delays research and actionable insights.
Simian Pang, Zixuan Zheng, Fan Luo, Xianyong Xiao, Lanlan Xu
Sustainability·
2021·
cited by 19
Short-term forecasting of clustered hybrid renewable energy systems (wind, photovoltaic, concentrating solar power) is difficult due to spatial and temporal uncertainties.
Md. Murad Hossain, Md. Asadullah, Abidur Rahaman, Md Sipon Miah, Md. Zahid Hasan, Tonmay Paul, Mohammad Amzad Hossain
Applied System Innovation·
2021·
cited by 41
Family violence in Bangladesh during the COVID-19 lockdown needed to be forecast to anticipate social harm.
Yajing Sun, Wenping Hu
SmartMat·
2021·
cited by 25
Predicting the lattice thermal conductivity of crystal materials is hard because usable datasets are scarce, limiting data-driven materials science.
Farhan Quadir, Raj S. Roy, Elham Soltanikazemi, Jianlin Jack Cheng
Frontiers in Molecular Biosciences·
2021·
cited by 21
Predicting the quaternary structure of dimeric protein complexes, which is useful for function analysis, protein engineering and drug design.
Zudi Lin, Donglai Wei, Jeff William Lichtman, Hanspeter Pfister
arXiv (Cornell University)·
2021·
cited by 25
Software & Coding
Cell Image Analysis Techniques
partially solved
importance 5/10
scale stated
Reconstructing neurons, synapses, and organelles from nanometer-resolution volumetric microscopy requires scalable segmentation tools that can exploit scarce expert annotations and abundant unlabeled data.
Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal, Guillem Salazar, Peer Bork B, Shinichi Sunagawa et al.
bioRxiv (Cold Spring Harbor Laboratory)·
2020·
cited by 32
Machine-learning models built on human microbiome data suffered from scarce metagenomics-specific software, overoptimistic evaluation, and poor generalization across studies.
Daniele M. S. Barros, Julio C. C. Moura, Cefas Rodrigues Freire, Alexandre Chater Taleb, Ricardo Alexsandro de Medeiros Valentim, Philippi Sedir Grilo de Morais
BioMedical Engineering OnLine·
2020·
cited by 138
Medicine & Health
Retinal Imaging and Analysis
ai assisted
importance 5/10
scale stated
Detecting and diagnosing glaucoma from retinal images using machine learning classification algorithms.
Xingjian Chen, Zifan Zhu, Weitong Zhang, Yuchen Wang, Fuzhou Wang, Jianyi Yang, Ka‐Chun Wong
iScience·
2022·
cited by 30
Predicting human diseases from microbiome (metagenomic) data suffers information loss and severe overfitting because datasets are high-dimensional with few samples.
Lorena Andrade Nunes, Rafaelle Piazzaroli Finotti, Flávio de Souza Barbosa, Alexandre Cury
Structural Health Monitoring·
2020·
cited by 29
Most structural damage detection techniques fail to automatically identify novelties such as damage or abnormal behavior from dynamic measurements, making human decisions necessary.
Sully F. Chen, Anton Alyakin, Andreas Seas, Eunice Yang, Joanne J. Choi, Jin Vivian Lee, Amelia L. Chen, Pranav I. Warman et al.
Nature Medicine·
2026·
cited by 67
Medicine & Health
Artificial Intelligence in Healthcare and Education
ai assisted
importance 5/10
scale stated
The rapid flood of clinical LLM studies (roughly 3.2 papers per day) makes manual curation and review of the evidence base infeasible.
Zheng Liang, Junjie Chen
Energy Informatics·
2025·
cited by 11
Building energy consumption is hard to forecast accurately due to uncertainty and noise, hindering energy-saving measures.
Jingyue Wu, Stephanie S. Singleton, Urnisha Bhuiyan, Lori Krammer, Raja Mazumder
Frontiers in Molecular Biosciences·
2024·
cited by 77
Characterising the gut microbiome for precision medicine requires extracting insight from complex multi-omics datasets (metagenomics, metatranscriptomics, glycomics, metabolomics).
Zhaopeng Qian, Kejing Xiao
Electronics·
2023·
cited by 43
Medicine & Health
Speech Recognition and Synthesis
ai assisted
importance 5/10
scale stated
People with dysarthric speech (discontinuous, uncontrolled volume, slow or explosive pronunciation) are poorly served by standard automatic speech recognition.
Risheng Wang, Tao Lei, Ruixia Cui, Bingtao Zhang, Hongying Meng, Asoke Kumar Nandi
IET Image Processing·
2022·
cited by 845
Medicine & Health
Medical Image Segmentation Techniques
ai assisted
importance 5/10
scale stated
Accurate segmentation of medical images is needed for clinical analysis, and the deep learning literature on it is large and disorganized.
Kristen D. Curry, Michael G. Nute, Todd J. Treangen
Emerging Topics in Life Sciences·
2021·
cited by 30
Medicine & Health
Gut microbiota and health
partially solved
importance 5/10
scale stated
Predicting human diseases from gut microbiome data is difficult, with ML showing promise for some conditions but lacking efficacy for others.