Molecular Electronics Chip With 100 Million DNA Reading Devices

Roswell has developed the first Molecular Electronics chip. Roswell uses advances in semiconductor technology, nano-fabrication and bio-sensors to create standard CMOS chips that directly integrate sensor molecules into the CMOS integrated circuits. Roswell is delivering the $100, 1-hour Genome for precision medicine. Simple, fast, low cost and with clinical-grade accuracy including phasing, assembly and direct reading of epigenetic data.

In 2019, Roswell Biotechnologies, Inc., the pioneer in the development of a molecular electronics platform for DNA Sequencing, closed a $32 million round of Series A financing backed by multiple investors.

Going “on-chip” to deploy bio-sensors provides unprecedented economics, precision, portability, and scalability. The first chip is designed to read DNA; future chips will be designed for protein detection and other diverse bio-sensing applications.

Roswell will have rapid, low cost, mobile detection systems for diverse biomarkers. Enabling powerful, in-the-field pathogen detection, infectious disease monitoring, environmental monitoring, and identification of bio-specimens, species or individuals.

Roswell Platform: ENDSeq™ System : The ENDSeq™ System (Electronic Nano-Device Sequencing) reduces whole genome sequencing from days to minutes, through direct electrical sensing delivered at the speed of natural DNA synthesis.

Roswell technology provides a robust Data Reader for the future of digital data storage using DNA.

9 thoughts on “Molecular Electronics Chip With 100 Million DNA Reading Devices”

  1. Anyway we’ve already got credit scores, social credit scores, blue checkmarks… by the time a genetic goodness score comes along it’ll just be another number measuring your “goodness” to add to the list.

    Reply
  2. The genomes do not requite that much storage. 4mb per genome. 100,000,000 genomes would just be 400TB. That is just 27, 15TB hard drives. Most professional Youtubers have that level of storage.

    The thing is, the DNA data is still useless if that is all you had. You would have to collect actual, health, appearance, trait, driving records, arrest records, school records, work records, personality tests…ten thousand little things about each one.

    Face appearance should be fairy easy…and it has been done with fair success. With a lot of samples and better understanding of how to turn a 2D photo into an accurate 3D version, that accuracy could be very high: https://snapshot.parabon-nanolabs.com/examples

    Reply
  3. Deep learning can find those patterns in the genome, but it requires a huge amount of training data. By making it cheap and fast you can have millions of high precision genome sequences. That will also require a supercomputer and huge storage to train the neural net.

    Reply
  4. So what? The machine that read DNA wasn’t the problem.

    The problem was the machines that could take a DNA reading and convert that to a prediction about how intelligent, handsome, disease free, emotionally controlled and healthy a human would be.

    We are still a long way from that.

    Reply
  5. Too many references to Gattaca over the years, but wouldn’t this lead to building a device similar to what they had in Gattaca for reading DNA?

    Reply
  6. Good news for medicine I suppose. Will somebody now start some sort of “facebook” for DNA? or include it in their dating profile?

    Reply

Leave a Comment