Research graph
References from Artificial intelligence and sports genomics: advancing precision sports science and athletic performance. Local targets link to admitted publications; unresolved targets remain external evidence.
Genetic and epigenetic determinants of injury risk and recovery in elite athletes: toward precision sports medicine
10.1016/j.gene.2025.149957 · 2026 · External reference
High responders and low responders: factors associated with individual variation in response to standardized training
10.1007/s40279-014-0197-3 · 2014 · External reference
Inter-individual variation in adaptations to endurance and resistance exercise training: genetic approaches towards understanding a complex phenotype
10.1007/s00335-017-9732-5 · 2018 · External reference
Understanding personalized training responses: can genetic assessment help?
10.2174/1875399x01710010191 · 2017 · External reference
Sport and exercise genomics: the FIMS 2019 consensus statement update
10.1136/bjsports-2019-101532 · 2020 · External reference
Precision prevention in exercise: integrating OMICS biomarkers and artificial intelligence for injury risk assessment
10.1016/j.aehs.2025.09.001 · 2025 · External reference
Candidate gene polymorphisms and power athlete status: a meta-analytical approach
10.1007/s13105-025-01071-0 · 2025 · External reference
A synthetic data-driven machine learning approach for athlete performance attenuation prediction
10.3389/fspor.2025.1607600 · 2025 · External reference
Multidisciplinary prediction of running-related injuries using machine learning
10.1038/s41746-026-02413-y · 2026 · External reference
Molecular profiling of high-level athlete skeletal muscle after acute endurance or resistance exercise—a systems biology approach
10.1016/j.molmet.2023.101857 · 2024 · External reference
Deep learning for genomic insights into athletic performance in sports education
10.3389/fgene.2026.1766127 · 2026 · External reference
Deep learning-powered genetic insights for elite swimming performance: integrating DNA markers, physiological biometrics, and performance analytics
10.31579/2690-4861/720 · 2025 · External reference
Bioethical aspects of human genome research in sports: a brief overview
10.24075/medet.2025.013 · 2025 · External reference
Molecular signatures of sprint, strength, and power performance: integrating genetic, epigenetic, transcriptomic, and telomeric evidence
10.1177/00368504251385991 · 2025 · External reference
Novel insights into athlete physical recovery concerning lactate metabolism, lactate clearance and fatigue monitoring: a comprehensive review
10.3389/fphys.2025.1459717 · 2025 · External reference
Physical exercise and epigenetic modifications in skeletal muscle, brain, and heart
10.1186/s13072-025-00576-8 · 2025 · External reference
Genes and athletic performance: the 2023 update
10.3390/genes14061235 · 2023 · External reference
Genetics and sports performance: the present and future in the identification of talent for sports based on DNA testing
10.1007/s00421-022-04945-z · 2022 · External reference
ACTN3: more than just a gene for speed
10.3389/fphys.2017.01080 · 2017 · External reference
ACTN3 R577x polymorphism and team-sport performance: a study involving three European cohorts
10.1016/j.jsams.2013.02.005 · 2014 · External reference
Genetic variations associated with non-contact muscle injuries in sport: a systematic review
10.1111/sms.14020 · 2021 · External reference
Individual and combined influence of ACE and ACTN3 genes on muscle phenotypes in Polish athletes
10.1519/jsc.0000000000001839 · 2018 · External reference
Association between basketball playing position and ACTN3 R577X polymorphism in athletes of first division Brazilian basketball league
10.1016/j.gene.2023.147302 · 2023 · External reference
Almeida SS, dos santos MAP. The frequency of the ACTN3 polymorphism in Brazil: a systematic review and meta-analysis
10.1186/s12920-025-02136-1 · 2025 · External reference
Differences in muscle strength performance according to the genotypes of the rs4646994 polymorphism of the ACE gene in a sedentary population
10.4067/s0717-95022024000200227 · 2024 · External reference
Do PPARGC1A and PPARα polymorphisms influence sprint or endurance phenotypes?
10.1111/j.1600-0838.2009.00930.x · 2010 · External reference
Association analysis of ACE, ACTN3 and PPARGC1A gene polymorphisms in two cohorts of European strength and power athletes
10.5604/20831862.1201051 · 2016 · External reference
Association of plasma heat shock protein 70, interleukin 6, and creatine kinase concentrations in a healthy, young adult population
10.1155/2015/967120 · 2015 · External reference
Muscle-specific creatine kinase gene polymorphism and running economy responses to an 18-week 5000-m training programme
10.1136/bjsm.2006.029744 · 2006 · External reference
Muscle strength is associated with vitamin D receptor gene variants
10.1002/jor.23220 · 2016 · External reference
Overexpression of the vitamin D receptor (VDR) induces skeletal muscle hypertrophy
10.1016/j.molmet.2020.101059 · 2020 · External reference
Association of myostatin gene polymorphisms with strength and muscle mass in athletes: a systematic review and meta-analysis of the MSTN rs1805086 mutation
10.3390/genes13112055 · 2022 · External reference
Variants in the myostatin gene and physical performance phenotype of elite athletes
10.3390/genes12050757 · 2021 · External reference
COL5A1 Gene variants previously associated with reduced soft tissue injury risk are associated with elite athlete status in rugby
10.1186/s12864-017-4187-3 · 2017 · External reference
Polymorphisms within the COL5A1 3′-UTR that alters mRNA structure and the MIR608 gene are associated with achilles tendinopathy
10.1111/ahg.12013 · 2013 · External reference
Pharmacogenetic effects of inhaled salbutamol on 10-km time trial performance in competitive male and female cyclists
10.1097/jsm.0000000000000201 · 2016 · External reference
Stimulation of the beta-2-adrenergic receptor with salbutamol activates human brown adipose tissue
10.1016/j.xcrm.2023.100942 · 2023 · External reference
Physical performance and sports genetics: a systematic review of candidate gene polymorphisms involved in team sports
10.3390/genes16091079 · 2025 · External reference
Hypoxia-Inducible factor 1-alpha (HIF-1α): an essential regulator in cellular metabolic control
10.7759/cureus.63852 · 2024 · External reference
The early history of the biochemistry of muscle contraction
10.1085/jgp.200409091 · 2004 · External reference
Fiber types in mammalian skeletal muscles
10.1152/physrev.00031.2010 · 2011 · External reference
Metabolic networks influencing skeletal muscle fiber composition
10.3389/fcell.2018.00125 · 2018 · External reference
Aerobic glycolysis: meeting the metabolic requirements of cell proliferation
10.1146/annurev-cellbio-092910-154237 · 2011 · External reference
Sports genetics moving forward: lessons learned from medical research
10.1152/physiolgenomics.00109.2015 · 2016 · External reference
The future of genomic research in athletic performance and adaptation to training
10.1159/000445241 · 2016 · External reference
Advances in sports genomics
2022 · External reference
The role of COL1A1, COL5A1, ACTN3, MMP3, and GDF5 gene variants in common sports injuries: systematic review of ACL rupture, achilles tendinopathy, and stress fractures
10.3390/genes17020212 · 2026 · External reference
Genetic testing in sport: considerations for young athletes
10.1177/1037969x20956260 · 2020 · External reference
Seasonal training load distribution of professional futsal players
10.1519/jsc.0000000000001270 · 2016 · External reference
Effect of match importance on salivary cortisol and immunoglobulin A responses in elite young volleyball players
10.1519/jsc.0b013e31825183d9 · 2013 · External reference
Anthropometric, physical, and age differences by the player position and the performance level in volleyball
10.2478/hukin-2014-0128 · 2014 · External reference
Monitoring the athlete training response: subjective self-reported measures Trump commonly used objective measures: a systematic review
10.1136/bjsports-2015-094758 · 2016 · External reference
Saliva as a tool for monitoring steroid, peptide and immune markers in sport and exercise science
10.1016/j.jsams.2011.03.004 · 2011 · External reference
High-Intensity training and salivary immunoglobulin A responses in professional top-level soccer players: effect of training intensity
10.1519/jsc.0000000000000380 · 2016 · External reference
Neuromuscular, endocrine, and perceptual fatigue responses during different length between-match microcycles in professional rugby league players
10.1123/ijspp.5.3.367 · 2010 · External reference
Recovery after an official soccer match: an analysis of markers of muscle damage and oxidative stress, and endocrine, neuromuscular and perceptual responses
10.3390/jfmk10030351 · 2025 · External reference
Overlaps of skeletal muscle fatigue and skeletal muscle damage: the muscle injury Continuum
10.1186/s40798-025-00876-z · 2025 · External reference
Unresolved reference
2025 · External reference
Recovery of inflammation, cardiac, and muscle damage biomarkers after running a marathon
10.1519/jsc.0000000000003167 · 2021 · External reference
Impact of different running distances on muscle and lymphocyte DNA damage in amateur marathon runners
10.1589/jpts.28.450 · 2016 · External reference
Acute changes in inflammatory biomarker levels in recreational runners participating in a marathon or half-marathon
10.1186/s40798-016-0045-0 · 2016 · External reference
Factors influencing blood lactate concentration during exercise: a narrative review with a lactate shuttle perspective
10.1111/apha.70131 · 2025 · External reference
Change in lactate, ammonia, and hypoxanthine concentrations in a 1-year training cycle in highly trained athletes: applying biomarkers as tools to assess training Status
10.1519/jsc.0000000000003375 · 2020 · External reference
Research progress on exercise fatigue from the perspective of fatigue biomarkers
10.7717/peerj.20424 · 2026 · External reference
Hypoxanthine induces muscular ATP depletion and fatigue via UCP2
10.3389/fphys.2021.647743 · 2021 · External reference
Effects of exercise training on anabolic and catabolic hormones with advanced age: a systematic review
10.1007/s40279-021-01612-9 · 2022 · External reference
AI-Driven Performance analytics for early injury prediction in competitive athletes: a multicenter observational study
10.21653/tjpr.2026.op148 · 2026 · External reference
Chronic stress, cortisol dysfunction, and pain: a psychoneuroendocrine rationale for stress management in pain rehabilitation
10.2522/ptj.20130597 · 2014 · External reference
Usefulness of the cortisol:testosterone ratio in assessing the catabolic and anabolic balance of athletes
10.12775/qs.2024.22.54505 · 2024 · External reference
The testosterone: cortisol ratio—a tool with practical use and research potential in endocrinology
10.4103/ijem.ijem_85_25 · 2025 · External reference
Effect of baseline ferritin levels on post-exercise iron metabolism in male elite youth rowers
10.1038/s41598-025-07682-3 · 2025 · External reference
Iron deficiency without anemia—a clinical challenge
10.1002/ccr3.1529 · 2018 · External reference
Effect of exercise on the level of immunoglobulin a in saliva
10.5604/20831862.1019662 · 2012 · External reference
Role of uric acid metabolism-related inflammation in the pathogenesis of metabolic syndrome components such as atherosclerosis and nonalcoholic steatohepatitis
10.1155/2016/8603164 · 2016 · External reference
Effect of 21-day Omega-3 polyunsaturated fatty acid supplementation on exercise-induced secretory factors and inflammation Status in young men: a randomized double-blind trial
10.3390/nu18030539 · 2026 · External reference
Omega-3 fatty acid supplementation on post-exercise inflammation, muscle damage, oxidative response, and sports performance in physically healthy adults—a systematic review of randomized controlled trials
10.3390/nu16132044 · 2024 · External reference
Omega-3 fatty acids and muscle strength—current state of knowledge and future perspectives
10.3390/nu16234075 · 2024 · External reference
Cardiac damage biomarkers and heart rate variability following a 118-km mountain race: relationship with performance and recovery
2019 · External reference
Big data in sports medicine and exercise science: integrating theory and practice for future innovations
10.61838/kman.tjssm.2.1.1 · 2024 · External reference
Biomarkers in sports and exercise: tracking health, performance, and recovery in athletes
10.1519/jsc.0000000000002122 · 2017 · External reference
Exercise metabolism and the molecular regulation of skeletal muscle adaptation
10.1016/j.cmet.2012.12.012 · 2013 · External reference
Monitoring training adaptation and recovery Status in athletes using heart rate variability via Mobile devices: a narrative review
10.3390/s26010003 · 2026 · External reference
Regular, intense exercise training as a healthy aging lifestyle strategy: preventing DNA damage, telomere shortening and adverse DNA methylation changes over a lifetime
10.3389/fgene.2021.652497 · 2021 · External reference
Physical activity and DNA methylation in humans
10.3390/ijms222312989 · 2021 · External reference
Epigenetic and transcriptional variability shape phenotypic plasticity
10.1002/bies.201700148 · 2018 · External reference
PGC-1α Is a master regulator of mitochondrial lifecycle and ROS stress response
10.3390/antiox12051075 · 2023 · External reference
Genetic determinants of endurance: a narrative review on elite athlete Status and performance
10.3390/ijms252313041 · 2024 · External reference
10.2196/mhealth.8518 · 2018 · Admitted local publication
Telerehabilitation for people with physical disabilities and movement impairment: a survey of United Kingdom practitioners
10.2196/30516 · 2022 · External reference
Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care?
10.1016/j.arth.2018.02.067 · 2018 · External reference
Artificial intelligence in sports science: a systematic review on performance optimization, injury prevention, and rehabilitation
10.23950/jcmk/16412 · 2025 · External reference
Functional motion detection based on artificial intelligence
10.1007/s11227-021-04037-3 · 2022 · External reference
Application of artificial intelligence (AI) in prosthetic and orthotic rehabilitation
10.5772/intechopen.93903 · 2020 · External reference
Explainable machine learning techniques to predict muscle injuries in professional soccer players through biomechanical analysis
10.3390/s24010119 · 2023 · External reference
Advances in AI and machine learning for predictive medicine
10.1038/s10038-024-01231-y · 2024 · External reference
Conceptual structure and current trends in artificial intelligence, machine learning, and deep learning research in sports: a bibliometric review
10.3390/ijerph20010173 · 2023 · External reference
Artificial intelligence in sports biomechanics: a scoping review on wearable technology, motion analysis, and injury prevention
10.3390/bioengineering12080887 · 2025 · External reference
Reflection characteristics measurements of indoor wireless link in D-band
10.3390/s22186908 · 2022 · External reference
Using deep learning to predict Minimum foot–ground clearance event from toe-off kinematics
10.3390/s22186960 · 2022 · External reference
Impact of running clothes on accuracy of smartphone-based 2D joint kinematic assessment during treadmill running using OpenPifPaf
10.3390/s25030934 · 2025 · External reference
Studying contact replays: investigating mechanisms, management and game exposures (SCRIMMAGE) for brain health in the australasian national rugby league: a protocol for a database design
10.1136/bmjsem-2024-002216 · 2024 · External reference
Using machine learning to improve our understanding of injury risk and prediction in elite male youth football players
10.1016/j.jsams.2020.04.021 · 2020 · External reference
Multimodal biomedical AI
10.1038/s41591-022-01981-2 · 2022 · External reference
Next-Generation approaches in sports medicine: the role of genetics, omics, and digital health in optimizing athlete performance and longevity—a narrative review
10.3390/life15071023 · 2025 · External reference
Unresolved reference
2026 · External reference
A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directions
10.1186/s13102-025-01294-0 · 2025 · External reference
Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review
10.1186/s40798-019-0202-3 · 2019 · External reference
Artificial intelligence based body sensor network framework-narrative review: proposing an End-to-End framework using wearable sensors, real-time location systems and artificial intelligence/machine learning algorithms for data collection, data mining and knowledge discovery in sports and healthcare
10.1186/s40798-021-00372-0 · 2021 · External reference
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns
10.1371/journal.pone.0301608 · 2024 · External reference
Classifying soccer players based on physical capacities and match-specific running performance using machine learning
10.52082/jssm.2025.764 · 2025 · External reference
Predictive athlete performance modeling with machine learning and biometric data integration
10.1038/s41598-025-01438-9 · 2025 · External reference
Precision training via causal machine learning: modeling rating of perceived exertion in professional soccer players
10.1123/ijspp.2024-0537 · 2026 · External reference
Adaptive training load optimization for track and field athletes: a reinforcement learning approach
10.1038/s41598-026-41946-w · 2026 · External reference
A reinforcement learning—enabled system for personalised sports training plan generation
10.1504/ijict.2025.151069 · 2025 · External reference
Gradient or not? Predicting football action sequences using boosting vs neural networks
10.62036/isd.2025.57 · 2025 · External reference
Artificial intelligence and machine learning approaches in sports: concepts, applications, challenges, and future perspectives
10.1016/j.bjpt.2024.101083 · 2024 · External reference
Genomic predictors of brisk walking are associated with elite sprinter Status
10.3390/genes13101710 · 2022 · External reference
Genetic profiles to identify talents in elite endurance athletes and professional football players
10.1371/journal.pone.0274880 · 2022 · External reference
Genetic profile in genes associated with sports injuries in elite endurance athletes
10.1055/a-1917-9212 · 2023 · External reference
Feature selection for physical activity recognition using genetic algorithms
2017 · External reference
Investigating swimming technical skills by A double partition clustering of multivariate functional data allowing for dimension selection
10.1214/23-aoas1857 · 2024 · External reference
A machine learning framework for data-scarce regression using SMOGN with joint hyperparameter optimization: a case study with cricket performance prediction
2025 · External reference
Analysis of training optimization strategy based on adaptive hierarchical genetic algorithm
2024 · External reference
From microcosm to macrocosm: the -omics, multiomics, and sportomics approaches in exercise and sports
10.1089/omi.2023.0169 · 2023 · External reference
Prediction and identification of power performance using polygenic models of three single-nucleotide polymorphisms in Chinese elite athletes
10.3389/fgene.2021.726552 · 2021 · External reference
Total genotype score modelling of polygenic endurance-power profiles in Lithuanian elite athletes
10.3390/genes12071067 · 2021 · External reference
Real-time wearable biomechanics framework for sports injury prevention and rehabilitation optimization
10.1038/s41598-025-34551-w · 2026 · External reference
The performance of a machine learning model in predicting accelerometer-derived walking speed
10.1016/j.heliyon.2025.e42185 · 2025 · External reference
Deep learning-powered genetic insights for elite swimming performance: integrating DNA markers, physiological biometrics and performance analytics
10.29328/journal.ijbmr.1001020 · 2025 · External reference
AI-driven medical image analysis for sports injury diagnosis and prevention
10.1038/s41598-025-20580-y · 2025 · External reference
Unresolved reference
2015 · External reference
Prediction of gait trajectories based on the long short term memory neural networks
10.1371/journal.pone.0255597 · 2021 · External reference
[ICLR 2016] prioritized experience replay
2016 · External reference
Cluster analysis as an effective tool for identifying physical fitness in students: the basis for an innovative approach to optimizing physical education in the university environment
10.3389/fphys.2025.1634125 · 2025 · External reference
Football analytics: assessing the correlation between workload, injury and performance of football players in the English premier league
10.3390/app14167217 · 2024 · External reference
Integration of multiomic and multi-phenotypic data identifies biological pathways associated with physical fitness
10.1038/s42003-026-09663-2 · 2026 · External reference
Unresolved reference
2026 · External reference
The role of Eif6 in skeletal muscle homeostasis revealed by endurance training co-expression networks
10.1016/j.celrep.2017.10.040 · 2017 · External reference
ACTN3 C.1729C> T polymorphism might not be a standalone factor in non-contact musculoskeletal injury: a systematic review and meta-analysis
10.1007/s40279-025-02368-2 · 2026 · External reference
A genetic-based algorithm for personalized resistance training
10.5604/20831862.1198210 · 2016 · External reference
New genetic model for predicting phenotype traits in sports
10.1123/ijspp.2012-0339 · 2014 · External reference
Genomic information in the decision-making process for the training of a high-performance Brazilian swimmer: a case report
10.3389/fgene.2025.1544178 · 2025 · External reference
Towards precision sports nutrition for endurance athletes: a scoping review of application of omics and wearables technologies
10.3390/nu16223943 · 2024 · External reference
Precision nutrition in sports science: an opinion on omics-based personalization and athletic outcomes
10.3389/fnut.2025.1611440 · 2025 · External reference
The role of artificial intelligence in enhancing sports education and public health in higher education: innovations in teaching models, evaluation systems, and personalized training
10.3389/fpubh.2025.1554911 · 2025 · External reference
Nutrigenomics in sports: the effect of ergogenic aid and micronutrients on athletes
10.1016/j.foohum.2025.100750 · 2025 · External reference
COL5A1 Rs13946 polymorphism and anterior cruciate ligament injury: systematic review and meta-analysis
10.3390/ijms26136340 · 2025 · External reference
Optimizing sensor placement for event detection: a case study in gaseous chemical detection
10.3390/s25082397 · 2025 · External reference
CRISPR Therapy—revolution in medicine or ethical danger
10.12775/qs.2026.49.67138 · 2026 · External reference
Genetic data are not always personal-disaggregating the identifiability and sensitivity of genetic data
10.1093/jlb/lsad029 · 2023 · External reference
Ethical aspects of human genome research in sports—a narrative review
10.3390/genes15091216 · 2024 · External reference
Defining medical liability when artificial intelligence is applied on diagnostic algorithms: a systematic review
10.3389/fmed.2023.1305756 · 2023 · External reference
Genetics and athletic performance: a systematic SWOT analysis of non-systematic reviews
10.3389/fgene.2023.1232987 · 2023 · External reference
Response to lolli: predicting injuries in elite female football players with global-positioning-system and multiomics data
10.1123/ijspp.2024-0308 · 2024 · External reference
Evaluating untargeted metabolomics pipelines for sports nutrition research: a review
10.1039/d5ay01484k · 2025 · External reference
From multi-omics to personalized training: the rise of enduromics and resistomics
10.1186/s40798-025-00855-4 · 2025 · External reference
