LyteFast-en Ikerketa Oinarriak
Pisua aurreikusteko, energia oreka, dieten karbono aztarna, glutenaren detekzioa, nutrizio-datubaseak eta AI elikagaien analisia babesten duten iritzi-azterketak.
Estekak zure hizkuntzan irekiko dira eskuragarri badaude • Harvard, Stanford eta MIT ikerketak lehenetsiz
Pisua Aurreikusi
Pisua aurreikustea energia oreka printzipioetan oinarritutako iragazki-modeloak erabiltzen ditu etorkizuneko pisu joerak azken datuetatik proiektatzeko. Ikerketek erakusten dute pisua eta kaloria kontsumoa auto-monitorizatzeak, eguneroko zarata murrizteko joera leuntzearekin batera, laguntzen duela pertsonek beren ibilbidea ulertzen eta garaiz egokitzapenak egiten. Hurbileko iragazki-modelatzeak zure azken ibilbidea ekintza-ahalmeneko aurreikuspen bihurtzen du, atxikimendua eta luzerako ohiturak sustatzeko.
Key Studies
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Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.
Obesity (Silver Spring, Md.) • 2025
Gorputz osasunaren neurrien zehaztasunak pisu aldaketak jarraitzeko garrantzia erakusten du, pisu iragarpen modeloetan joera leuntzeko beharra babestuz.
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Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
Auto-ikusketa eta feedback mekanismoek nola laguntzen duten pisuaren mantentze luzerako, aurreikuspen argiak eta joera bisualizazioa eskaintzeko hurbilketa balioztatzen dute.
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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
Journal of medical systems • 2023
Pisua iragartzeko makina ikaskuntza hurbilketak aztertzen ditu, pisu kudeaketa aplikazioetan iragartze-modeloen erabilera babestuz.
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Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events.
EBioMedicine • 2023
Machine learning-ek nola hobetzen duen iragarpen zehaztasuna erakusten du, pisu joera iragarpen modeloetarako garrantzitsua.
Aurrekontu Oinarritutako Kaloriak
Aurrez ezarritako kaloria aurrekontuek "aurrekontu barruan" edo "aurrekontutik kanpo" iritzi argi batekin laguntzen diete erabiltzaileei errealitatean informatutako elikadura aukerak egiten. Ikerketek erakusten dute erabaki-hornidura honek kaloria helburuei atxikimendua hobetzen duela kognitiboa karga murriztuz eta berehalako, ekintza-eraginkorrak diren iritziak emanez. "Gastatu vs. aurrekontua" markoa ekonomia comportamentalaren printzipioekin bat dator, zeinek erakusten duten jendeak hobe erabakitzen duela argi mugak eta berehalako iritziak dituztenean.
Key Studies
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Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
Egituratutako helburuen ezarpenak eta feedback mekanismoek dieta helburuen betetzean hobetzen dutela erakusten du, aurrekontu oinarritutako kaloria hurbilketa babestuz.
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Intermittent fasting plus early time-restricted eating versus calorie restriction and standard care in adults at risk of type 2 diabetes: a randomized controlled trial.
Nature medicine • 2023
Egituratutako kaloria kudeaketa hurbilketek atxikimendua eta emaitzak hobetzen dituztela erakusten du, estandarreko arreta konparatuz.
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Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?
Nutrients • 2022
Kaloria murrizketa estrategien alderaketa, aurreikuspen argiek denboraketa irizpidearen araberako atxikimendua laguntzen dutela erakutsiz.
Kaloria Defizita eta Energia Oreka
Energia oreka—kontsumitutako kaloria eta erretako kalorien arteko harremana—pisu aldaketaren motorea da. Ikerketek etengabe erakusten dute kaloria-defizit bat sortzeak pisu galera ekartzen duela, eta surplus batek, berriz, pisu irabazia. Defizit hau denbora errealean irudikatzeak erabiltzaileei laguntzen die euren eguneroko aukerek nola eragiten duten helburuen aurrerapenean ulertzen. Aplikazioak energia oreka hizkuntza sinplean itzultzen du, egungo kontsumoa eta helburua arteko aldea erakutsiz, eta zein aldaketa egin daitekeen aldea itxi ahal izateko.
Key Studies
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Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.
Obesity (Silver Spring, Md.) • 2025
Energia oreka pisu aldaketa gidatzen duen mekanismo funtsezkoa dela baieztatzen du, kaloria defizitaren ikuspegia balioztatuz.
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Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?
Nutrients • 2022
Kaloria-defizitak, denbora kontuan hartu gabe, pisu galera bultzatzen duela erakusten du, energia oreka printzipioa babestuz.
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Effectiveness of Early Time-Restricted Eating for Weight Loss, Fat Loss, and Cardiometabolic Health in Adults With Obesity: A Randomized Clinical Trial.
JAMA internal medicine • 2022
Demonstratzen du denbora-mugatutako janariaren bidez lortutako kaloria-defizitak pisu galera neurgarria ekartzen duela, energia oreka printzipioak baieztatuz.
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Intermittent Fasting in Weight Loss and Cardiometabolic Risk Reduction: A Randomized Controlled Trial.
The journal of nursing research : JNR • 2022
Kaloria-defizitua pisua galtzeko gako mekanismoa dela erakusten du, janariaren patroiaren denbora kontuan hartu gabe.
AI Janari Eskanerra
Adimen artifizialak eta makina ikaskuntzak automatikoki elikagaien identifikazioa ahalbidetzen dute argazkien, testu deskribapenen eta barra kodeen eskaneatze bidez. Ikerketek erakusten dute AI-arekin indartutako nutrizio estimazioak elikagai arrunten zehaztasun arrazoizkoa eskaintzen duela, erabiltzaileei bazkariak azkarrago eta etengabeago erregistratzen lagunduz. Argazkien analisia, barra kodeen eskaneatzea eta testuaren azterketa konbinatzeak elikagaien erregistroarako hainbat bide sortzen ditu, auto-monitorizatzeko oztopoak murriztuz eta kaloria jarraipena hobetuz.
Key Studies
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DietAI24 as a framework for comprehensive nutrition estimation using multimodal large language models.
Communications medicine • 2025
Adierazten du nola AI eta hizkuntza-eredu handiek elikadura zehatz estimatu dezaketen janari irudietatik eta deskribapenetatik.
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Extract Nutritional Information from Bilingual Food Labels Using Large Language Models.
Journal of imaging • 2025
Adierazten du AIak elikagaien etiketen nutrizio-informazioa ateratzeko gai dela, barra-kode eta testu oinarritutako elikagaien erregistroa lagunduz.
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Automated Artificial Intelligence-Based Thai Food Dietary Assessment System: Development and Validation.
Current developments in nutrition • 2024
AI oinarritutako elikagaien identifikazio sistemak balioztatzen ditu dieta ebaluatzeko, benetako elikagaien logatze egoeretan zehaztasuna erakutsiz.
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Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.
The American journal of clinical nutrition • 2023
AI oinarritutako elikagaien kategorizaioa tradizional metodoekin alderatzen du, eta erakusten du makina ikaskuntzako hurbilketa hauek elikagaiak modu eraginkorrean kategoriza ditzaketela eta nutrizio kalitatea aurreikusi dezaketela.
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Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study.
JMIR formative research • 2025
Demonstratzen du barra-kodeen eskaneatzeak datu zehatzak harrapatzeko eraginkortasuna, barra-kodeetan oinarritutako elikagaien erregistroa babestuz.
Karbono Azalera
Elikagaien ekoizpenak munduko berotze-gas emisioen zati garrantzitsua hartzen du. Ikerketek erakusten dute elikagaiek karbono-aztarna oso desberdinak dituztela, eta dieta aukerak ingurumen iraunkortasunean eragin handia izan dezakete. Janarien karbono-aztarna jarraitzeak erabiltzaileei beren elikagaien aukeren ingurumen-inpaktua ulertzen laguntzen die eta iraunkorragoak diren erabakiak hartzen. Ikertzaileek frogatu dute dieta aldaketa txikiek ere karbono emisioak modu esanguratsuan murriztu ditzaketela.
Key Studies
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Sustainable diets reduce diet-related greenhouse gas emissions and improve diet quality: results from the MyPlanetDiet randomized controlled trial.
The American journal of clinical nutrition • 2025
Emaitzek erakusten dute elikadura iraunkorrak berotegi efektuko gasen emisioak murriztu ditzakeela, dieta kalitatea hobetzeaz batera, karbono aztarna jarraipena balioztatzen duela.
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Are healthier diets more sustainable? A cross-sectional assessment of 8 diet quality indexes and 7 sustainability metrics.
The American journal of clinical nutrition • 2025
Dietaren kalitatearen eta ingurumen iraunkortasunaren arteko harremana erakusten du, elikadura aukeretan karbono aztarna kontzientzia sustatuz.
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Diet quality and environmental impact of university students' food choices at a South African university.
Frontiers in nutrition • 2025
Elikadura aukerek ingurumen-inpaktua neurtzeko modukoak direla erakusten du, karbono-aztarna jarraitzearen garrantzia balioztatzen duela.
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Single-item substitutions can substantially reduce the carbon and water scarcity footprints of US diets.
The American journal of clinical nutrition • 2022
Emaitzek adierazten dute dieta txikiko aldaketek karbono aztarnak modu esanguratsuan murriztu ditzaketela, elikagaien aukeretan karbonoaren jarraipenaren balioa babestuz.
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Cooking at Home, Fast Food, Meat Consumption, and Dietary Carbon Footprint among US Adults.
International journal of environmental research and public health • 2022
Elikadura aukerak eta prestaketa metodoek nola eragiten duten karbono aztarnan erakusten du, otordu mailako karbono jarraipena balioztatzen duela.
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Greenhouse gas emissions, cost, and diet quality of specific diet patterns in the United States.
The American journal of clinical nutrition • 2023
Dieta patroi desberdinen artean karbono aztarna konparatzen du, aldaketa nabarmenak erakutsiz eta jarraipena egiteko garrantzia azpimarratuz.
Glutena Detektatzea
Celiakoen gaixotasuna edo glutenarekiko sentikortasunarekin duten pertsonentzat, glutenaren saihestea osasunerako funtsezkoa da. Ikerketek erakusten dute, baita gluten kopuru txikiek ere, sintomak eta kalte iraunkorrak eragin ditzaketela sentikorretan. Barkodea eskaneatzea eta elikagaien analisia glutenaren presentzia duten produktuak identifikatzen laguntzen du, glutenik gabeko dieta mantentzen laguntzeko azkarreko iragazpen bat eskaintzen du. Aplikazioak produktuen informazioan oinarritutako adierazleak eskaintzen dituen arren, garrantzitsua da kontuan hartzea estimatzailea dela eta etiketak arretaz irakurtzeko edo medikuaren orientabidearen ordezkoa ez dela.
Key Studies
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Diagnostic Accuracy of IgA Anti-Transglutaminase Assessed by Chemiluminescence: A Systematic Review and Meta-Analysis.
Nutrients • 2024
Celiako gaixotasunaren diagnostiko metodoak aztertzen ditu, celiako gaixotasuna dutenentzat glutenaren detekzio zehatza izatearen garrantzia azpimarratuz.
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Recent advancements in the sensors for food analysis to detect gluten: A mini-review [2019-2023].
Food chemistry • 2024
Elikagaietan glutenaren detekzio teknologikoen ikuspegiak aztertzen ditu, glutenaren iragazketa egiteko elikagaien analisiaren erabilera babestuz.
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Evaluation of the Usefulness of an Automatable Immunoassay for Monitoring Celiac Disease by Quantification of Immunogenic Gluten Peptides in Urine.
Nutrients • 2023
Celiako gaixotasuna duten pertsonentzako gluten esposizioa monitorizatzea garrantzitsua dela erakusten du, gluten detekzio tresnen beharra balioztatzen du.
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Rapid Anti-tTG-IgA Screening Test for Early Diagnosis of Celiac Disease in Pediatric Populations.
Nutrients • 2023
Celiakoen gaixotasunaren kudeaketan gluten esposizioaren goizko detekzioaren eta jarraipenaren garrantzia azpimarratzen du.
Fasting View & Prediktiboa Modelatzea
Intermittent fasting eta denbora-mugatutako elikadura elikadura-hurbilpenak dira, janaria denbora-tarte zehatzetara mugatzen dutenak. Ikerketek erakusten dute hurbilpen hauen onurak, batez ere, kaloria-kopuru totalaren eta koherentziaren bidez medio direla, ez denbora bakarrik. Prediktiboko modelatzeak erabiltzaileei laguntzen die euren fasting patroiak nola erlazionatzen diren pisu joerekin eta aurreikuspenekin ikusten. Aplikazioak fasting denbora-tarteak kaloria aurrekontuekin, joerekin eta aurreikuspenekin lotzen ditu, fasting eta emaitzen arteko harremana argi eta ekintzaerraza eginez.
Key Studies
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Intermittent fasting strategies and their effects on body weight and other cardiometabolic risk factors: systematic review and network meta-analysis of randomised clinical trials.
BMJ (Clinical research ed.) • 2025
Erakundeak adierazten duenez, goiztiarako eta tarteka gose egitea estrategiak eraginkorrak dira pisua galtzeko, kaloria murrizketak eragindako onurekin.
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Time-restricted eating: Watching the clock to treat obesity.
Cell metabolism • 2024
Denbora-mugatutako janariaren ikerketak aztertzen ditu, eta erakusten du onurak batez ere kaloria murrizketari dagokiola, ez denbora bakarrik.
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Health Benefits of Intermittent Fasting.
Microbial physiology • 2024
Intermittent fasting-ek osasun onurak laburbiltzen ditu, eta horrek fasting jarraipena kaloria eta pisu kudeaketarekin integratzeko laguntza ematen du.
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A meta-analysis comparing the effectiveness of alternate day fasting, the 5:2 diet, and time-restricted eating for weight loss.
Obesity (Silver Spring, Md.) • 2023
Fasting irtenbide desberdinak alderatzen ditu, guztiak kaloria-defizitua sortzen dutenean eraginkorrak direla erakutsiz, eta fastingaren eta energia-orekaaren arteko lotura babesten du.
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Clinical application of intermittent fasting for weight loss: progress and future directions.
Nature reviews. Endocrinology • 2022
Aldez aurretik, kaloria kontsumoarekin lotutako emaitzak azpimarratuz, goiztiar irenstea aztertzen duen ebidentzia klinikoa berrikusten du eta goiztiar irensteen eraginak iragartzeko modelatze prediktiboa babesten du.
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Time-restricted Eating for the Prevention and Management of Metabolic Diseases.
Endocrine reviews • 2022
Denbora-mugatutako janariaren azterketa osoa, kaloria kontzientzia eta jarraipena batera erabiliz, bere eraginkortasuna erakusten duena.
Erreferentzia Osotuak
Peer-referentziadun erreferentzien zerrenda osoa. Etiketek adierazten dute zein funtzio(k) babesten duen erreferentzia bakoitzak.
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1Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.Heymsfield SB, Ramirez S, Yang S et al. • Obesity (Silver Spring, Md.) • 2025[Calorie Deficit][Weight Forecast]
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2Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.Palmeira AL, Carraça EV, Santos I et al. • Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
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3Diet quality and environmental impact of university students' food choices at a South African university.Sahadeo S, Naicker A, Makanjana O et al. • Frontiers in nutrition • 2025[Carbon Footprint]
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4Considering greenhouse gas emissions from feed production in diet formulation for dairy cows as a means of reducing the carbon footprint.Managos M, Lindahl C, Agenäs S et al. • Animal : an international journal of animal bioscience • 2025[AI Food Scanner][Carbon Footprint]
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5Are healthier diets more sustainable? A cross-sectional assessment of 8 diet quality indexes and 7 sustainability metrics.Conrad Z, Thorne-Lyman AL, Wu S et al. • The American journal of clinical nutrition • 2025[AI Food Scanner][Carbon Footprint]
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6Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study.Zhang R, Chiron S, Tyree R et al. • JMIR formative research • 2025[AI Food Scanner]
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7Extract Nutritional Information from Bilingual Food Labels Using Large Language Models.Assiri FY, Alahmadi MD, Almuashi MA et al. • Journal of imaging • 2025[AI Food Scanner]
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8Intermittent fasting strategies and their effects on body weight and other cardiometabolic risk factors: systematic review and network meta-analysis of randomised clinical trials.Semnani-Azad Z, Khan TA, Chiavaroli L et al. • BMJ (Clinical research ed.) • 2025[Fasting View]
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9DietAI24 as a framework for comprehensive nutrition estimation using multimodal large language models.Yan R, Luo H, Lu J et al. • Communications medicine • 2025[AI Food Scanner]
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10Retinopathy of Prematurity.Kaur K, Mikes BA • Journal • 2025
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11Machine learning for forecasting initial seizure onset in neonatal hypoxic-ischemic encephalopathy.Bernardo D, Kim J, Cornet MC et al. • Epilepsia • 2025[Weight Forecast]
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12Machine learning-based prediction of G-CSF-induced hematopoietic stem cell mobilization outcomes in healthy volunteers.Shi C, Zeng X, Ge J et al. • Bone marrow transplantation • 2025[Weight Forecast]
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13Sustainable diets reduce diet-related greenhouse gas emissions and improve diet quality: results from the MyPlanetDiet randomized controlled trial.Davies KP, Gibney ER, Leonard UM et al. • The American journal of clinical nutrition • 2025[AI Food Scanner][Carbon Footprint][Carbon Footprint]
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14Sustainable Breastfeeding: A State-of-the Art Review.Bai YK, Alsaidi M • Journal of human lactation : official journal of International Lactation Consultant Association • 2024
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15Environmental and Health Sustainability of the Mediterranean Diet: A Systematic Review.Lorca-Camara V, Bosque-Prous M, Bes-Rastrollo M et al. • Advances in nutrition (Bethesda, Md.) • 2024[AI Food Scanner][Carbon Footprint]
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16[Analysis of food carbon footprint and its socio-demographic disparities in China in 2018].Hong X, Li W, Wang L et al. • Wei sheng yan jiu = Journal of hygiene research • 2024[Carbon Footprint]
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17The impact of slaughter weight and sex on the carbon footprint of pig feed intake.De Cuyper C, Van den Broeke A, Van Linden V et al. • Animal : an international journal of animal bioscience • 2024
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18Diagnostic Accuracy of IgA Anti-Transglutaminase Assessed by Chemiluminescence: A Systematic Review and Meta-Analysis.Pjetraj D, Pulvirenti A, Moretti M et al. • Nutrients • 2024
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19Recent advancements in the sensors for food analysis to detect gluten: A mini-review [2019-2023].Jain S, Lamba BY, Dubey SK • Food chemistry • 2024[Gluten Detection]
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20Automated Artificial Intelligence-Based Thai Food Dietary Assessment System: Development and Validation.Chotwanvirat P, Prachansuwan A, Sridonpai P et al. • Current developments in nutrition • 2024[AI Food Scanner][AI Food Scanner]
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21Time-restricted eating: Watching the clock to treat obesity.Ezpeleta M, Cienfuegos S, Lin S et al. • Cell metabolism • 2024[Fasting View]
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22Health Benefits of Intermittent Fasting.Reddy BL, Reddy VS, Saier MH Jr • Microbial physiology • 2024[Fasting View]
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23Effect of intermittent fasting 16:8 and 14:10 compared with control-group on weight reduction and metabolic outcomes in obesity with type 2 diabetes patients: A randomized controlled trial.Sukkriang N, Buranapin S • Journal of diabetes investigation • 2024[Fasting View]
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24Interpretable machine learning model for new-onset atrial fibrillation prediction in critically ill patients: a multi-center study.Guan C, Gong A, Zhao Y et al. • Critical care (London, England) • 2024[Weight Forecast]
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25Machine learning based clinical prediction model for 1-year mortality in Sepsis patients with atrial fibrillation.Meng H, Guo L, Pan Y et al. • Heliyon • 2024[Weight Forecast]
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26Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?Kalantari E, Gholami H, Malakooti H et al. • Environmental science and pollution research international • 2024[Weight Forecast]
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27Health outcomes, environmental impacts, and diet costs of adherence to the EAT-Lancet Diet in China in 1997-2015: a health and nutrition survey.Cai H, Talsma EF, Chang Z et al. • The Lancet. Planetary health • 2024[Carbon Footprint]
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28Adherence to a Planetary Health Diet, Environmental Impacts, and Mortality in Chinese Adults.Ye YX, Geng TT, Zhou YF et al. • JAMA network open • 2023[Carbon Footprint]
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29Environmental impacts and diet quality of popular diet models compared to Turkey's national nutrition guidelines.Kemaloglu M, Öner N, Soylu M • Nutrition & dietetics : the journal of the Dietitians Association of Australia • 2023[Carbon Footprint]
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30Forage based diet as an alternative to a high concentrate diet for finishing young bulls - Effects on growth performance, greenhouse gas emissions and meat quality.Santos-Silva J, Alves SP, Francisco A et al. • Meat science • 2023[Carbon Footprint]
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31Evaluation of the Usefulness of an Automatable Immunoassay for Monitoring Celiac Disease by Quantification of Immunogenic Gluten Peptides in Urine.Segura V, Ruiz-Carnicer Á, Mendía I et al. • Nutrients • 2023[Gluten Detection]
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32Rapid Anti-tTG-IgA Screening Test for Early Diagnosis of Celiac Disease in Pediatric Populations.Mendia I, Segura V, Ruiz-Carnicer Á et al. • Nutrients • 2023[Gluten Detection]
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33Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.Hu G, Ahmed M, L'Abbé MR • The American journal of clinical nutrition • 2023[Weight Forecast][AI Food Scanner][AI Food Scanner]
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34A meta-analysis comparing the effectiveness of alternate day fasting, the 5:2 diet, and time-restricted eating for weight loss.Elortegui Pascual P, Rolands MR, Eldridge AL et al. • Obesity (Silver Spring, Md.) • 2023[Fasting View]
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35Intermittent fasting plus early time-restricted eating versus calorie restriction and standard care in adults at risk of type 2 diabetes: a randomized controlled trial.Teong XT, Liu K, Vincent AD et al. • Nature medicine • 2023[Budget-Based Calories][Calorie Deficit][Fasting View]
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36[Intermittent fasting and human metabolic health].Carvajal V, Marín A, Gihardo D et al. • Revista medica de Chile • 2023[Fasting View]
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37Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.Ferreras A, Sumalla-Cano S, Martínez-Licort R et al. • Journal of medical systems • 2023[Weight Forecast][Weight Forecast][Weight Forecast]
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38Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events.Gruen A, Mattingly KR, Morwitch E et al. • EBioMedicine • 2023[Weight Forecast]
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39A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons.Giamarelos N, Papadimitrakis M, Stogiannos M et al. • Sensors (Basel, Switzerland) • 2023[Weight Forecast]
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40Accurate prediction of calving in dairy cows by applying feature engineering and machine learning.Vázquez-Diosdado JA, Gruhier J, Miguel-Pacheco GG et al. • Preventive veterinary medicine • 2023[Weight Forecast]
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41Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.Wang Y, Ni B, Xiao Y et al. • Frontiers in cardiovascular medicine • 2023[Weight Forecast]
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42Population Pharmacokinetic Modeling Combined With Machine Learning Approach Improved Tacrolimus Trough Concentration Prediction in Chinese Adult Liver Transplant Recipients.Li ZR, Li RD, Niu WJ et al. • Journal of clinical pharmacology • 2023[Weight Forecast]
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43The importance of eggs in an environmentally sustainable diet.Mason P • Nutrition bulletin • 2023[AI Food Scanner][Carbon Footprint][Carbon Footprint]
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44Carbon dioxide (CO(2)) emissions and adherence to Mediterranean diet in an adult population: the Mediterranean diet index as a pollution level index.García S, Bouzas C, Mateos D et al. • Environmental health : a global access science source • 2023[Carbon Footprint]
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45Carbon Footprint of Away-From-Home Food Consumption in Brazilian Diet.Bezerra IN, Verde SMML, Almeida BS et al. • International journal of environmental research and public health • 2022[Carbon Footprint]
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46Water-Food-Carbon Nexus Related to the Producer-Consumer Link: A Review.Wang J, Sun S, Yin Y et al. • Advances in nutrition (Bethesda, Md.) • 2022[Carbon Footprint]
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47Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil.Garzillo JMF, Poli VFS, Leite FHM et al. • Revista de saude publica • 2022[Carbon Footprint]
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48Cooking at Home, Fast Food, Meat Consumption, and Dietary Carbon Footprint among US Adults.Wolfson JA, Willits-Smith AM, Leung CW et al. • International journal of environmental research and public health • 2022[Carbon Footprint]
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49Food purchase behaviour in a Finnish population: patterns, carbon footprints and expenditures.Meinilä J, Hartikainen H, Tuomisto HL et al. • Public health nutrition • 2022[Carbon Footprint]
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50The positive climate impact of the Mediterranean diet and current divergence of Mediterranean countries towards less climate sustainable food consumption patterns.Castaldi S, Dembska K, Antonelli M et al. • Scientific reports • 2022[AI Food Scanner][Carbon Footprint]
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51Single-item substitutions can substantially reduce the carbon and water scarcity footprints of US diets.Rose D, Willits-Smith AM, Heller MC • The American journal of clinical nutrition • 2022[Carbon Footprint]
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52Carbon Footprint Reduction by Transitioning to a Diet Consistent with the Danish Climate-Friendly Dietary Guidelines: A Comparison of Different Carbon Footprint Databases.Trolle E, Nordman M, Lassen AD et al. • Foods (Basel, Switzerland) • 2022[Carbon Footprint]
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53Clinical application of intermittent fasting for weight loss: progress and future directions.Varady KA, Cienfuegos S, Ezpeleta M et al. • Nature reviews. Endocrinology • 2022[Fasting View]
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54Intermittent Fasting and Metabolic Health.Vasim I, Majeed CN, DeBoer MD • Nutrients • 2022[Fasting View]
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55Effectiveness of Early Time-Restricted Eating for Weight Loss, Fat Loss, and Cardiometabolic Health in Adults With Obesity: A Randomized Clinical Trial.Jamshed H, Steger FL, Bryan DR et al. • JAMA internal medicine • 2022[Fasting View]
-
56Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?Zhang Q, Zhang C, Wang H et al. • Nutrients • 2022[Budget-Based Calories][Calorie Deficit][Fasting View]
-
57Intermittent Fasting in Weight Loss and Cardiometabolic Risk Reduction: A Randomized Controlled Trial.Chair SY, Cai H, Cao X et al. • The journal of nursing research : JNR • 2022[Fasting View]
-
58Time-restricted Eating for the Prevention and Management of Metabolic Diseases.Manoogian ENC, Chow LS, Taub PR et al. • Endocrine reviews • 2022[Fasting View]
-
59Time restricted eating for the prevention of type 2 diabetes.Cienfuegos S, McStay M, Gabel K et al. • The Journal of physiology • 2022
-
60Design of Machine Learning Algorithm for Tourism Demand Prediction.Yu N, Chen J • Computational and mathematical methods in medicine • 2022[Weight Forecast]