Abstract: A combination in only one dosage unit the drugs desloratadine and betamethasone, which represents a set of important technological challenges due to the physicochemical properties and the difference in dosage to ensure the obtaining of a stable product for the treatment of allergic and inflammatory processes in a subject.

Abstract: Pharmaceutical compositions of tramadol and pregabalin, or a pharmaceutically acceptable salt thereof, for the treatment of neuropathic pain. Besides offering an analgesic effect and a decrease of adverse events due to the reduced dose of one or both compounds, it has an improved stability, thus maintaining the dissolution and bioavailability of the composition to be administered. The composition manages to overcome the technological difficulty of having two humidity- and light-sensitive drugs in a dispensing medium that does not affect their absorption by means of a water-free process and a light protection coating without affecting the release of both drugs.

Abstract: An improved, immediate-release pharmaceutical composition against respiratory diseases and acute upper respiratory tract infections (IAVRS) with a stable bioavailability and includes an analgesic, such as ibuprofen; an antihistamine, such as loratadine; and one or more excipients, such as suspending agents, solubilizers, co-solvents, sweeteners or flavorings, colorants, preservatives or antimicrobials, and solvents. The manufacturing process of the composition manages to overcome the technological complexity of having both drugs in liquid form while preserving their physicochemical properties.

Abstract: The manufacture of fixed-dose combination drug products to be used as an anti-inflammatory and antineuritic agents for the control and management of pain, particularly moderate to severe intensity acute pain of different etiologies resulting from peripheral neuropathies, low back pain, sciatica, neck pain, radiculitis, post-herpetic neuralgia, spondylitis, carpal tunnel syndrome, fibromyalgia, etc., of different etiologies such as inflammatory, drug, diabetic, alcoholic, or nutritional etiology, etc. These fixed-dose combination drug products contain a therapeutically effective amount of (a) a non-steroidal anti-inflammatory drug (NSAID) or a pharmaceutically acceptable salt thereof, (b) an antineuritic agent or a pharmaceutically acceptable salt thereof, and (c) at least one pharmaceutically acceptable amount of a pharmaceutically acceptable excipient.

Abstract: A combination, in a single dosage form, the active principles, atorvastatin and fenofibrate, which represents a set of important technological challenges due to the physicochemical properties and the difference in dosage to ensure obtaining a stable product in the treatment of hyperlipidemia and the prevention of cardiovascular diseases.

Abstract: An innovative stable immediate release drug for the treatment, control, and better management of type 2 diabetes mellitus containing a sulfonylurea such as glimepiride, a dipeptidyl peptidase-4 (DPP4) inhibitor such as vildagliptin, and a biguanidine such as metformin. At the same time, this invention allows solving a set of important technological challenges in the manufacture of said drug product due to the physicochemical properties and the difference in dosage of the synergistic combination of the drugs.

Abstract: The present disclosure relates to electronic circuit design, and more specifically, to determining the computational requirements of fully synthesizing a printed circuit board and/or package. Embodiments may include receiving, using a processor, one or more PCB electronic design files and determining whether the PCB electronic design files include data required for a synthesis engine. If any data is missing, the method may include inferring one or more parameters using an inference engine and providing the one or more parameters to the synthesis engine, wherein the synthesis engine includes at least one of a placement, via assignment, routing, and metal pouring processes. The method may also include collecting process data from the placement, via assignment, routing, and metal pouring processes and training a machine learning system using the process data.