Scientific Prowess
NutriGenome AI
The deep neural network intelligent system based on the Monte Carlo algorithm redefines the scientific boundaries of compound health products through an algorithmic revolution.
Effective synergy of multiple components
For 6,000 medicinal and non-medicinal ingredients approved by Health Canada, 42 million high-quality global papers and medical literature in 42 languages (PubMed/CNKI/EMBASE), as well as 86.5 million sets of clinical trial data, through transfer learning multimodal fusion technology, By applying the multi-objective Pareto optimization algorithm (MOO), the problem of ingredient synergy is solved, effectively achieving an effect of "1+1>2". The product formula can contain as many as dozens of ingredients.
Precise control of ingredient dosage
By adopting the innovative dynamic proportioning model under the Federated Learning framework, and through the convolutional neural network (CNN) combined with the composite pharmacodynamic model (PopPK/PD), the dosage of various components in different formulations is precisely adjusted to the optimal dose ±0.83% (±0.01mg) level difference.
Safety verification of adverse reactions
To address the safety issue of densely encapsulating highly active ingredients in a limited space, we have developed a toxicity prediction twin large model (T.E.S.T). By applying a unique adversarial generative network (GAN), over 2.3 million virtual metabolic scenarios are synthesized for each formula and verified through a large pharmacokinetic model (P.K), ensuring the effectiveness of the formula while avoiding any side effects.
A breakthrough in the limits of physical space
Due to the space limitations of the capsule, we have developed the world's first joint calculation system based on molecular dynamics (MD), which analyzes the van der Waals radius and polarity characteristics of each component through graph neural networks (GNN), and uses the "supercritical fluid crystallization technology" (this technology can increase the filling density to 2.8 times that of traditional processes without damaging the biological activity of the components). Realize the optimal stacking scheme for multiple components within a limited space.
The "AI+" artificial intelligence full-spectrum compound formula has undergone three levels of intelligent verification for each product: molecular penetration simulation ensures that the ingredients reach the target directly, intestinal microecological simulation verifies the absorption pathway, and virtual clinical trials predict long-term effects, achieving a micro-regulation level that human pharmacists cannot reach. Double-blind test through the human body, this kind of control based on artificial intelligence algorithm formula, its composition is collaborative efficiency than traditional formula: 3.2 times above the figure not only explained the algorithms driving scientific precision, more to redefine the effectiveness of nutritional supplements boundary: This is not merely a technological iteration, but a health revolution driven by "NutriGenome AI".
Multiple Certifications
