Kikulu okukijjukira nti wadde ng'ebintu bino biyinza okwongera ku bulabe bw'okufuna sukaali, si buli alina ebintu bino eby'obulabe nti ajja kufuna obulwadde buno.
Swift S, White S: Could islet transplantation be a potential cure for diabetes? Nurs Times. , 99 (15): 48-9.
Anderson BJ: Who benefits from intensive therapy in type 1 diabetes? A fresh perspective, more questions, and hope. Diabetes Care. 2003, 26 (7): 2204-6.
Lisenby KM, Meyer A, Slater NA: Is an SGLT2 inhibitor right for your patient with type 2 diabetes? J Fam Pract. 2016, 65 (9): 587-93.
Okwewala obuvunaanyizibwa: eby'obujjanjabi
Omukutu guno guweereddwa olw'ebigendererwa by'enjigiriza n'obubaka bwokka era teguwa kubuulirira kw'ekisawo oba obuweereza bw'ekikugu.
Obubaka obuweereddwa tebusaanidde kukozesebwa okuzuula oba okujjanjaba bulwadde, era abo abanoonya amagezi g'ekisawo balina okwebuuza ku musawo alina layisensi.
Weetegereze nti enkola ya neural net ekola eby'okuddamu mu bibuuzo, si ntuufu nnyo bwe kituuka ku muwendo gw'abantu. Ng'ekyokulabirako, omuwendo gw'abantu abalwadde obulwadde obumu.
Bulijjo noonya amagezi g'omusawo wo oba omusawo omulala omutuufu ku bikwata ku mbeera y'obulamu. Teweerabira magezi g'omusawo oba okulwawo okuganoonya olw'ekintu ky'osomye ku mukutu guno. Bw'oba olowooza oyinza okuba n'embeera ey'amangu mu by'obulamu, yita 911 oba genda mu ddwaaliro ly'amangu erisinga okumpi amangu ddala. Tewali nkolagana ya musawo n'omulwadde ekolebwa ku mukutu guno oba okukozesawo. BioMedLib oba abakozi baagwo, oba omuntu yenna ayamba ku mukutu guno, talina ky'agamba, ekyogamba oba ekiteeberezebwa, ku bikwata ku bubaka obuli wano oba okukozesawo.
Okwewala obuvunaanyizibwa: eddembe ly'okuwandiika
Digital Millennium Copyright Act ey'omwaka 1998, 17 U.S.C. § 512 (DMCA) ewa abalina eddembe ly'okuwandiika ebitabo abakkiriza nti ebintu ebiri ku mutimbagano bikontana n'eddembe lyabwe wansi w'amateeka g'eddembe ly'okuwandiika ebitabo mu Amerika.
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Diabetes can affect people of any age, race, or gender.
However, certain factors can increase the risk of developing diabetes, including:
1. Family history: Having a parent or sibling with diabetes increases the risk of developing the condition.
2. Age: The risk of type 2 diabetes increases as people get older, especially after the age of 45.
3. Weight: Being overweight or obese increases the risk of developing type 2 diabetes.
4. Physical inactivity: Lack of regular physical activity can increase the risk of type 2 diabetes.
5. Race and ethnicity: Certain racial and ethnic groups, such as African Americans, Hispanic/Latino Americans, Native Americans, Asian Americans, and Pacific Islanders, have a higher risk of developing type 2 diabetes.
6. Gestational diabetes: Women who have had gestational diabetes during pregnancy are at an increased risk of developing type 2 diabetes later in life.
7. Polycystic ovary syndrome (PCOS): Women with PCOS have an increased risk of developing type 2 diabetes.
8. Prediabetes: People with prediabetes have blood glucose levels higher than normal but not high enough to be diagnosed with diabetes.
They are at an increased risk of developing type 2 diabetes.
9. High blood pressure: Having high blood pressure (hypertension) can increase the risk of developing type 2 diabetes.
10. Abnormal cholesterol and triglyceride levels: High cholesterol and triglyceride levels can increase the risk of type 2 diabetes.
11. History of cardiovascular disease: People with a history of cardiovascular disease are at an increased risk of developing type 2 diabetes.
It is important to note that while these factors can increase the risk of developing diabetes, not everyone with these risk factors will develop the condition.
Making lifestyle changes, such as eating a healthy diet, maintaining a healthy weight, and engaging in regular physical activity, can help reduce the risk of developing diabetes.
Disclaimer: medical
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The information provided should not be used for diagnosing or treating a health problem or disease, and those seeking personal medical advice should consult with a licensed physician.
Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.
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Disclaimer: copyright
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