Metformin

Generic Name
Metformin
Brand Names
Actoplus Met, Avandamet, Fortamet, Glucophage, Glucovance, Glumetza, Glycon, Invokamet, Janumet, Jentadueto, Kazano, Kombiglyze, Komboglyze, Qternmet, Riomet, Segluromet, Synjardy, Trijardy, Velmetia, Xigduo
Drug Type
Small Molecule
Chemical Formula
C4H11N5
CAS Number
657-24-9
Unique Ingredient Identifier
9100L32L2N
Background

Metformin is a biguanide antihyperglycemic agent and first-line pharmacotherapy used in the management of type II diabetes.
...

Indication

Metformin immediate-release formulations

Metformin is indicated as an adjunct to diet and exercise to improve glycemic control in adults and pediatric patients ≥10 years old with type 2 diabetes mellitus.

Metformin extended-release tablet (XR)
...

Associated Conditions
Cardiovascular Mortality, End Stage Renal Disease (ESRD), Hospitalizations, Polycystic Ovarian Syndrome (PCOS), Type 2 Diabetes Mellitus, Decreased estimated glomerular filtration rate
Associated Therapies
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Beyoncé takes the stage in Texas with Harris to underline support of reproductive rights

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Elucidating temperature-dependent local structure change and optical properties in GeTe

Research on non-volatile memory and neuro-inspired computing has driven demand for integrating AI and pattern recognition into data processing, leading to attention on neuromorphic architectures due to their low power consumption and integrated storage/computing. Phase-change memory (PCM) with materials like GeTe is ideal for synaptic devices due to rapid transitions, high accuracy, and durability. GeTe, an alternative to GST, offers superior thermal stability and is promising for PCM and neuromorphic computing. Understanding temperature-dependent local structures and optical properties is crucial for further development of GeTe-based PCM devices.
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Scientific foundations of health, diet, and immunity claims are often based on limited evidence; innovative approaches in nutrition immunology aim to close this credibility gap. Researchers explore short-term effects of specific dietary components and their molecular mechanisms on immunity. Modern diets may skew immune responses, but diet could also help treat health problems like cancers and chronic immune disorders. Studies on chitin, fasting, and high-fat diets reveal potential therapeutic targets for obesity and immune conditions. Human trials are challenging but crucial for confirming dietary impacts on immune systems.
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MedTech develops medical devices for diagnosis and treatment, while BioTech uses biological processes to create drugs and therapies. Both fields are rapidly growing, driven by innovations and increasing demand for healthcare solutions, but face distinct regulatory challenges. Emerging technologies like AI and gene editing are set to revolutionize both fields, enhancing patient care and personalized medicine.
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Probing ferroelectric phase transitions in barium titanate single crystals via in situ second

SHGM reveals FE domain dynamics in BTO during phase transitions, showing strong hysteresis and differing critical exponents for cubic-to-tetragonal and tetragonal-to-orthorhombic transitions.
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As election day nears, Trump and Harris veer in different directions on pharma

With the election nearing, Kamala Harris and Donald Trump present contrasting views on pharma policies. Harris supports expanding Medicare's drug price negotiation power and cracking down on PBMs, attracting industry funding and Mark Cuban's support. Trump, initially advocating for lower drug prices, has shifted to align with industry lobbyists, opposing IRA provisions like Medicare's negotiation authority and the 'most-favored nations' policy.
nature.com
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ResisenseNet hybrid neural network model for predicting drug sensitivity and repurposing

ResisenseNet, a hybrid neural network with 1D-CNN, LSTM, and DNN modules, was trained to predict drug sensitivity in breast cancer. Ablation studies showed improved performance with module integration, achieving high accuracy and low loss. The model outperformed a baseline logistic classifier and demonstrated generalizability across different cancer types. SHAP analysis highlighted molecular descriptors' impact on drug behavior, guiding drug repurposing efforts for breast cancer treatment.
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