Medical devices is among the most rapidly growing segments of the healthcare industry, it is estimated to be near an US$ 300 billion worldwide market, increasing quickly at the rate of approximately 10 percent per annum. Medical devices are defined as tools, devices, implants, In vitro reagent or any related or similar articles used for the identification, prevention or treatment of ailments with no chemical action within or on the body. Medical devices can be very simple devices like a tongue Depressor or can be complicated medical robots and microchip implants. This diversity in the character of the merchandise calls for specialised contract research and testing capabilities to support the business.
We at Arbor provide an Extensive selection of contract research and medical device testing services to the medical device market. Our team of over 200 skilled professionals endorsed by state-of-the-art laboratory infrastructure and two NABL accredited labs have been working closely with top players in the medical device market. We have been encouraging the medical device industry with services like, Bio Burden Testing, Sterility testing, Bacterial Endotoxin, Ethylene oxide residue testing according to ISO 10993, Stability testing, Identification and purity testing of raw materials, Environmental monitoring of manufacturing centers, Sealing integrity test for packaging materials, Leaching of heavy metals and impurities, Organic residues, Testing for compliance with different IS and ISO standards, Clinical trials including early stage clinical development.
Apart from these services often provide to the business, we also Specialise in on regular analysis. Drawing on our years of expertise with a vast selection of analytical methods, we can help you solve complex analytical challenges by creating and supporting custom methods to satisfy your precise requirements. Most devices display messages telling the operator what is happening. However, there might be hundreds of error messages and tens of thousands of scenarios requiring a response. Even if a tester has a list of all of the messages, it is a daunting task to manually install all possible scenarios to which a specified message might apply. It is even more difficult to predict and test for instances where no message is needed, but one appears anyhow.