Rannsóknir sem styðja LyteFast
Ritréttað efni sem styður við væntingar um þyngd, orkubalans, kolefnisfótspor mataræðis, glútentekkingu, næringardatabasana og greiningu á mat með gervigreind.
Hlekkir opnast á þínu tungumáli þegar það er í boði • Forgangsraða rannsóknum frá Harvard, Stanford og MIT
Vigtisspá
Vigtisspá er notuð til að spá fyrir um líkamsþyngd með því að nota spálíkön sem byggja á orkujafnvægisprinsippum til að spá fyrir um framtíðarlíkamsþyngd út frá nýlegum gögnum. Rannsóknir sýna að sjálfsvöktun á líkamsþyngd og kaloríuinntöku, ásamt því að slétta út þróunina til að minnka daglegan hávaða, hjálpar fólki að skilja sína þróun og gera tímabundnar aðlaganir. Spálíkön með stuttum tíma breyta nýlegri þróun þinni í framkvæmanlegar spár sem styðja við viðhald og langtíma venjur.
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
Sýnir mikilvægi nákvæmrar líkamssamsetningar mælinga við að fylgjast með þyngdarbreytingum, sem styður nauðsynina á straumlínulagi í þyngdarskipulagslíkönum.
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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
Sýnir hvernig sjálfsvöktun og endurgjöf stuðla að langtíma þyngdarhaldi, sem staðfestir aðferðina við að veita skýrar spár og þróunarvísun.
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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
Journal of medical systems • 2023
Gagnast skoðun á vélrænum námsaðferðum fyrir þyngdarskiptingu, sem styður notkun spágerðar í þyngdarstjórnunartækjum.
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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
Sýnir hvernig vélrænt nám getur bætt nákvæmni spáa, sem er viðeigandi fyrir líkamsþyngdarsveifluspámódeli.
Budget-Based Kaloríur
Fyrirfram stillt kaloríubúnað með skýrum "innan fjárhags" eða "yfir fjárhags" endurgjöf hjálpar notendum að taka upplýstar matarvalkosti í rauntíma. Rannsóknir sýna að þessi stuðningur við ákvarðanatöku eykur fylgni við kaloríumarkmið með því að draga úr hugrænu álagi og veita strax, framkvæmanlega endurgjöf. Einfaldur "útgjöld vs. fjárhagur" rammi samræmist prinsippum hegðunarhagfræði sem sýna að fólk tekur betri ákvarðanir þegar það hefur skýrar takmarkanir og strax endurgjöf um val þeirra.
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
Sýnir að skipulögð markmiðasetning og endurgjöfarkerfi bæta fylgni við mataræðismarkmið, sem styður fjárhagslega byggða kaloríuaðferð.
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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
Sýnir fram á að skipulagðar kaloríustjórnunaraðferðir bæta viðhald og útkomur miðað við hefðbundna umönnun.
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Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?
Nutrients • 2022
Samanborin mismunandi kaloríuskerðingaraðferðir, sem sýna að skýrar kaloríubúnaðir styðja við viðhengi óháð tímastíl.
Kaloríuskortur og orkubalans
Orkustjórnun—sambandið milli hitaeininga sem neytt er og hitaeininga sem brenndar eru—er aðal áhrifaþáttur þyngdarsveiflna. Rannsóknir sýna stöðugt að það að skapa hitaeiningaskort leiðir til þyngdartaps, á meðan ofgnótt leiðir til þyngdaraukningar. Að sjá þennan skort í rauntíma hjálpar notendum að skilja hvernig daglegar ákvarðanir þeirra hafa áhrif á framvindu þeirra að markmiðum. Forritið þýðir orkustjórnun yfir í einfaldan texta, sem sýnir bilið milli núverandi inntöku og markmiðs, og hvaða breytingar geta lokið því bili.
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
Styrkir að orkujafnvægið sé grundvallarvettvangurinn sem stýrir breytingum á þyngd, sem staðfestir aðferðina um kaloría skort.
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Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?
Nutrients • 2022
Sýnir að kaloría skortur, óháð tímsetningu, stuðlar að þyngdartapi, sem styður orkujafnvægisregluna.
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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
Sýnir fram á að kaloría skortur sem náðst er með tímafestri neyslu leiðir til mælanlegs þyngdartaps, sem staðfestir prinsipp um orkujafnvægi.
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Intermittent Fasting in Weight Loss and Cardiometabolic Risk Reduction: A Randomized Controlled Trial.
The journal of nursing research : JNR • 2022
Sýnir að kaloría skortur sé aðalvísirinn að þyngdartapi, óháð tímasetningu mataræðis.
AI Fæðuskanni
Gervi greindarvísindi og vélanám gera sjálfvirka matargreiningu mögulega út frá myndum, textaskýringum og strikamerkjaskönnun. Rannsóknir sýna að næringarútreikningur sem byggir á gervigreind getur veitt sanngjarna nákvæmni fyrir algengar fæðutegundir, sem hjálpar notendum að skrá máltíðir hraðar og stöðugra. Samsetning myndagreiningar, strikamerkjaskönnunar og textaskilnings skapar fjölmargar leiðir til fæðuskilnings, sem minnkar hindranir við sjálfsfylgni og bætir viðhald á kaloríufylgni.
Key Studies
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DietAI24 as a framework for comprehensive nutrition estimation using multimodal large language models.
Communications medicine • 2025
Sýnir fram á hvernig gervigreind og stór tungumálalíkön geta nákvæmlega metið næringu út frá matarmyndum og lýsingum.
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Extract Nutritional Information from Bilingual Food Labels Using Large Language Models.
Journal of imaging • 2025
Sýnir að gervigreind getur dregið fram næringarupplýsingar úr matvælamerkjum, sem styður skráningu matvæla með strikamerkjum og texta.
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Automated Artificial Intelligence-Based Thai Food Dietary Assessment System: Development and Validation.
Current developments in nutrition • 2024
Styrkir AI-grundvallaða matvörufyrirkomulag fyrir mataræði, sem sýnir nákvæmni í raunverulegum matarskráningarsenari.
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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
Samanburður á AI-stýrðri matflokkun og hefðbundnum aðferðum sýnir að vélnám aðferðir geta flokkað matvæli á áhrifaríkan hátt og spáð fyrir um næringargæði.
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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
Sýnir fram á árangur strikamerkjaskönnunar fyrir nákvæma gagnaöflun, sem styður strikamerkjatengda matarskráningu.
Kolefnisfótur
Matvælaframleiðsla stendur fyrir verulegum hluta alheims gróðurhúsalofttegundaútblásturs. Rannsóknir sýna að mismunandi matvæli hafa mjög mismunandi kolefnisfótspor, og matarvenjur geta haft veruleg áhrif á umhverfislegan sjálfbærni. Að fylgjast með kolefnisfótspori mála hjálpar notendum að skilja umhverfisáhrif matarvalkostanna þeirra og taka sjálfbærari ákvarðanir. Rannsóknir sýna að jafnvel smávægilegar breytingar á mataræði geta dregið verulega úr kolefnisútblæstri.
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
Sýnir að sjálfbær matarvenjur geta minnkað gróðurhúsalofttegundir á meðan þær bæta gæði matar, sem staðfestir að rekja kolefnisfótspor er réttmæt.
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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
Sýnir tengslin milli gæðamatar og umhverfislegar sjálfbærni, sem styður meðvitund um kolefnisspor í matvalum.
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Diet quality and environmental impact of university students' food choices at a South African university.
Frontiers in nutrition • 2025
Sýnir að matvalaval hefur mælanleg umhverfisáhrif, sem staðfestir mikilvægi kolefnisfótsporsins.
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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
Sýnir fram á að litlar breytingar á mataræði geta verulega minnkað kolefnisspor, sem styður gildi kolefnisferils í matvalum.
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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
Sýnir hvernig mismunandi matval og matreiðsluaðferðir hafa áhrif á kolefnisspor, sem staðfestir kolefnisfylgni á máltíðum.
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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
Samanburður á kolefnissporum mismunandi matarvenja sýnir veruleg frávik og mikilvægi þess að fylgjast með.
Gluten Greining
Fyrir fólk með celiacsjúkdóm eða glútennæmi er nauðsynlegt að forðast glúten til að viðhalda heilsu. Rannsóknir sýna að jafnvel litlar skammtar af glúteni geta valdið einkennum og langtíma skaða hjá viðkvæmum einstaklingum. Strikamerki skönnun og mat á matvælum geta hjálpað til við að bera kennsl á glútenholdar vörur, sem veitir fljóta skimanir til að styðja við glútenlausa mataræði. Þó að appið veiti vísbendingar byggðar á upplýsingum um vörur, er mikilvægt að hafa í huga að það er áætlaður mælikvarði en ekki staðgengill fyrir vandlega merkingalestur eða læknisfræðilegar leiðbeiningar.
Key Studies
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Diagnostic Accuracy of IgA Anti-Transglutaminase Assessed by Chemiluminescence: A Systematic Review and Meta-Analysis.
Nutrients • 2024
Gagnrýnir greiningaraðferðir fyrir glútenóþol, með áherslu á mikilvægi nákvæmrar glútendetektionar fyrir þá sem eru með glútenóþol.
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Recent advancements in the sensors for food analysis to detect gluten: A mini-review [2019-2023].
Food chemistry • 2024
Gagnast tæknile aðferðir við að greina glúten í matvælum, sem styður notkun matgreiningar til að skanna fyrir glúteni.
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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
Sýnir mikilvægi þess að fylgjast með glútensýkingu hjá fólki með celiacsjúkdóm, staðfestir nauðsynina fyrir glútendetekkunartólum.
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Rapid Anti-tTG-IgA Screening Test for Early Diagnosis of Celiac Disease in Pediatric Populations.
Nutrients • 2023
Sýnir mikilvægi þess að greina snemma og fylgjast með glútenáhrifum í meðferð celiacsjúkdóms.
Fasting Sýn & Spágerðir
Millibilun fasta og tímabundin mataræði eru mataræðislegar aðferðir sem takmarka matarskömmtun við ákveðin tímabil. Rannsóknir sýna að ávinningur þessara aðferða er að mestu leyti háður heildar kaloría inntöku og samræmi, frekar en tímsetningu einni og sér. Spágerðir hjálpa notendum að sjá hvernig fasta þeirra tengist þyngdarþróun og spám. Forritið tengir fasta tímabil við kaloríafjárhagsáætlanir, þróun og spár, sem gerir sambandi milli fastu og niðurstaðna skýrt og framkvæmanlegt.
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
Alhliða yfirlit sem sýnir að tímabundin föstunarstefna er árangursrík fyrir þyngdartap, þar sem ávinningurinn er miðlaður með kaloríuskurði.
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Time-restricted eating: Watching the clock to treat obesity.
Cell metabolism • 2024
Skoðar rannsóknir á tímabundnu föstu, sem sýna að ávinningurinn er aðallega vegna kaloríafækkunar frekar en tímans einungis.
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Health Benefits of Intermittent Fasting.
Microbial physiology • 2024
Samantekt á heilsufarslegum ávinningi tímabundins föstunar, sem styður samþættingu föstunarvöktunar við kaloríu- og þyngdarstjórnun.
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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
Samanburður á mismunandi föstunaraðferðum sýnir að allar eru árangursríkar þegar þær skapa kaloríuskort, sem styður tengslin milli föstunar og orkubalans.
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Clinical application of intermittent fasting for weight loss: progress and future directions.
Nature reviews. Endocrinology • 2022
Gagnast rannsóknargögn um tímabundna föstu, þar sem lögð er áhersla á að niðurstöður tengjast kaloría inntöku og styðja spágerð um áhrif föstu.
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Time-restricted Eating for the Prevention and Management of Metabolic Diseases.
Endocrine reviews • 2022
Alhliða yfirlit yfir tímabundna neyslu, sem sýnir árangur hennar þegar hún er sameinuð meðvituðu mataræði og skráningu.
Heildarheimildir
Fullur listi yfir allar ritrýndar heimildir. Merki sýna hvaða eiginleika hver heimild styður.
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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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