Tianyu Zhao, Ruoxi Lyu, He Wang, Zhoujian Cao, Zhixiang Ren
Communications Physics·
2023·
cited by 35
Physics & Astronomy
Pulsars and Gravitational Waves Research
partially solved
importance 7/10
scale stated
Matched filtering for space-based gravitational wave detectors would require a computationally unaffordable template bank, so a feasible detection and extraction method was needed.
Feng Liu, Shuhong Huang, Jiongsong Hu, Xiaozhou Chen, Ziguo Song, Junguo Dong, Yao Liu, Xingxu Huang et al.
Nature Machine Intelligence·
2023·
cited by 36
Designing effective prime-editing guide RNAs (pegRNAs) is difficult due to lack of accurate, broadly applicable efficiency prediction and design optimization methods.
Yuhao Xia, Kailong Zhao, Dong Liu, Xiaogen Zhou, Guijun Zhang
Communications Biology·
2023·
cited by 47
Predicting 3D structures of multi-domain proteins and protein complexes, where AlphaFold2 still underperforms.
Lasse M. Blaabjerg, Maher M. Kassem, Lydia L. Good, Nicolas Jonsson, Matteo Cagiada, Kristoffer E. Johansson, Wouter Boomsma, Amelie Stein et al.
eLife·
2023·
cited by 174
Predicting how mutations change protein thermodynamic stability is needed in protein engineering and disease research, but biophysics-based methods are slow.
Brian Hie, Varun R. Shanker, Duo Xu, Theodora U. J. Bruun, Payton A. B. Weidenbacher, Shaogeng Tang, Wesley C. H. Wu, John E. Pak et al.
Nature Biotechnology·
2023·
cited by 449
Efficiently improving human antibodies by finding rare beneficial mutations in a vast sequence landscape, normally requiring costly screening.
Ekanath Srihari Rangan, Rahul Krishnan Pathinarupothi, Kanwaljeet J. S. Anand, Michael Snyder
JAMIA Open·
2022·
cited by 25
Medicine & Health
Sepsis Diagnosis and Treatment
ai assisted
importance 7/10
scale stated
Detecting sepsis early using only noninvasive bedside vital signs so clinicians can intervene sooner.
Juliet Biggs, Nantheera Anantrasirichai, F. Albino, Milan Lazecký, Yasser Maghsoudi
Bulletin of Volcanology·
2022·
cited by 31
Climate & Environment
Synthetic Aperture Radar (SAR) Applications and Techniques
partially solved
importance 7/10
scale stated
Radar satellites systematically image over 1000 volcanoes, but detecting deformation signals requires manual inspection of huge datasets, delaying timely eruption information.
Jin‐On Jung, Nerma Crnovrsanin, Naita Maren Wirsik, Henrik Nienhüser, Leila Peters, Felix Popp, A. Schulze, Martin Wagner et al.
Journal of Cancer Research and Clinical Oncology·
2022·
cited by 45
Medicine & Health
Gastric Cancer Management and Outcomes
ai assisted
importance 7/10
scale stated
Surgical oncologists need reliable individual long-term survival estimates for patients after resection of gastric or distal esophageal cancer.
Chih‐Min Liu, Edward S.C. Shih, Jhih-Yu Chen, Chih-Han Huang, I‐Chien Wu, Pei‐Fen Chen, Satoshi Higa, Nobumori Yagi et al.
JACC Asia·
2022·
cited by 46
Medicine & Health
Pulmonary Hypertension Research and Treatments
ai assisted
importance 7/10
scale stated
Elevated pulmonary artery pressure in pulmonary hypertension requires early detection from ECG to enable prompt diagnosis and treatment.
Mathieu Quinodoz, Virginie G. Peter, Katarina Cisarova, Béryl Royer‐Bertrand, Peter D. Stenson, D.N. Cooper, Sheila Unger, Andrea Superti‐Furga et al.
The American Journal of Human Genetics·
2022·
cited by 89
Medicine & Health
Genomics and Rare Diseases
partially solved
importance 7/10
scale stated
Predicting whether missense gene variants are pathogenic is difficult, hindering diagnosis of hereditary disease and cancer.
Sumin Lee, Seeun Kim, Gyu Rie Lee, Sohee Kwon, Hyeonuk Woo, Chaok Seok, Hahnbeom Park
Computational and Structural Biotechnology Journal·
2022·
cited by 42
It was unclear whether deep learning-based protein structure predictions could actually improve docking and virtual screening for GPCR drug discovery compared to pre-deep-learning tools.
Robin Pearce, Yang Li, Gilbert S. Omenn, Yang Zhang
PLoS Computational Biology·
2022·
cited by 44
Predicting 3D protein structures ab initio remains inaccurate for proteins lacking sequence or structural homologs.
Chang Li, Degui Zhi, Kai Wang, Xiaoming Liu
Genome Medicine·
2022·
cited by 190
Medicine & Health
Genomics and Rare Diseases
ai assisted
importance 7/10
scale stated
Existing computational tools struggle to distinguish rare pathogenic from rare benign missense SNVs and non-frameshift InDels, hindering genetic analysis.
Penglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian et al.
Journal of Chemical Information and Modeling·
2022·
cited by 75
Predicting which drugs interact with which proteins is crucial for drug discovery, but existing methods use biased datasets and weak protein representations.
Chenkai Li, Darcy Sutherland, S. Austin Hammond, Chen Yang, Figali Taho, Lauren C. Bergman, Simon Houston, René L. Warren et al.
BMC Genomics·
2022·
cited by 221
Medicine & Health
Antimicrobial Peptides and Activities
partially solved
importance 7/10
scale stated
Antibiotic resistance creates urgent need for new antimicrobial agents, but lab screening of candidate peptides is costly.
Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera‐Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz et al.
Nature·
2022·
cited by 476
Mathematics
Complexity and Algorithms in Graphs
partially solved
importance 7/10
scale stated
Discovering more efficient matrix multiplication algorithms is hard because the space of possible algorithms is enormous and human intuition is limited.
Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan Tracey, F. Carpanese, Timo Ewalds, Roland Hafner et al.
Nature·
2022·
cited by 739
Shaping and maintaining high-temperature plasma in a tokamak requires high-dimensional, high-frequency magnetic control that is difficult to design.
Matthias Unterhuber, Karl‐Philipp Rommel, Karl‐Patrik Kresoja, Julia Anna Lurz, Jelena Kornej, Gerhard Hindricks, Markus R. Scholz, Hölger Thiele et al.
European Heart Journal - Digital Health·
2021·
cited by 31
Medicine & Health
ECG Monitoring and Analysis
ai assisted
importance 7/10
scale stated
Heart failure with preserved ejection fraction (HFpEF) lacks typical ECG features and currently requires clinical, invasive, and laboratory exams to diagnose. The study tested whether AI could detect HFpEF from a baseline ECG.
Wei Ba, Rui Wang, Guang Yin, Zhigang Song, Jinyi Zou, Cheng Zhong, Jingrun Yang, Guanzhen Yu et al.
Translational Oncology·
2021·
cited by 37
Discriminating melanoma from nevus on whole-slide pathological images is difficult and depends on expert dermatopathologists.
Jie Ren, Daohan Wang, Lei Wu, Jin Min Yang, Mengchao Zhang
Journal of High Energy Physics·
2021·
cited by 31
Physics & Astronomy
Particle physics theoretical and experimental studies
ai assisted
importance 7/10
scale stated
Light axion-like particles (ALP mass MeV-GeV) are hard to detect because cosmological and astrophysical bounds on them are weak.
Itzhak Zachi Attia, Andrew S. Tseng, Ernest Diez Benavente, José R. Medina‐Inojosa, Taane Gregory Clark, Sofia K. Malyutina, Suraj Kapa, Henrik Schirmer et al.
International Journal of Cardiology·
2021·
cited by 80
Detecting left ventricular systolic dysfunction (LVSD), which raises morbidity and mortality even when asymptomatic, using ECG rather than echocardiography.
Hui Yan Qu, Mu Zhou, Zhennan Yan, He Wang, Vinod K. Rustgi, Shaoting Zhang, Olivier Gevaert, Dimitris Metaxas
npj Precision Oncology·
2021·
cited by 117
Medicine & Health
AI in cancer detection
partially solved
importance 7/10
scale stated
Identifying driver genetic mutations in breast cancer normally requires costly molecular profiling, so predicting them directly from routine whole-slide images was investigated.
Shenghua Cheng, Sibo Liu, Jingya Yu, Gong Rao, Yuwei Xiao, Wei Han, Wenjie Zhu, Xiaohua Lv et al.
Nature Communications·
2021·
cited by 195
Current algorithms perform poorly on whole slide image analysis for cervical cancer screening, failing to generalize across staining and imaging conditions.
Dejun Jiang, Chang‐Yu Hsieh, Zhenxing Wu, Yu Kang, Jike Wang, Ercheng Wang, Ben Liao, Chao Shen et al.
Journal of Medicinal Chemistry·
2021·
cited by 261
Predicting how strongly small molecules bind to target proteins is a key bottleneck in structure-based drug design, and traditional ML descriptors struggle with 3D molecular interactions.