doc2016
2 weeks ago
samsung and biogen/merck; isn't merck where j kim, phd worked prior to inovio?gemini ai pro said,
"While Microsoft and Samsung are both significant players in the tech world, they haven't directly partnered on biosimilars in the same way that Samsung Bioepis has partnered with companies like Biogen and Merck. However, there are some indirect connections and potential areas of collaboration:
Indirect Connections:
Samsung Bioepis: As mentioned earlier, Samsung Bioepis is a subsidiary of Samsung Biologics, which is part of the larger Samsung Group. Samsung Bioepis is the entity focused on developing and commercializing biosimilars.
Microsoft's Healthcare Initiatives: Microsoft has been increasing its presence in the healthcare sector, with initiatives like its cloud platform for healthcare data (Microsoft Cloud for Healthcare) and its work on AI for drug discovery.
Potential Areas of Collaboration:
Data and AI: Microsoft's expertise in data analytics and AI could potentially be valuable to Samsung Bioepis in areas like:
Drug discovery: Identifying new biosimilar targets and optimizing development processes.
Clinical trials: Analyzing clinical trial data to demonstrate biosimilarity and accelerate regulatory approvals.
Manufacturing: Optimizing manufacturing processes and ensuring product quality.
Cloud Computing: Microsoft's cloud platform could be used by Samsung Bioepis for:
Data storage and analysis: Managing large datasets related to drug development and clinical trials.
Collaboration: Facilitating collaboration among researchers and scientists working on biosimilars.
Supply chain management: Improving the efficiency and security of the biosimilar supply chain.
Future Possibilities:
While there's no current direct partnership on biosimilars, it's conceivable that Microsoft and Samsung could collaborate more closely in the future, given their complementary strengths and shared interest in the healthcare sector. This collaboration could take various forms, such as:
Joint ventures: Creating a new entity focused on developing specific biosimilars or related technologies.
Licensing agreements: Licensing Microsoft's technologies or platforms to Samsung Bioepis for use in biosimilar development.
Research collaborations: Jointly conducting research on new approaches to biosimilar development or manufacturing.
Overall:
While a direct partnership on biosimilars between Microsoft and Samsung hasn't been announced, their individual strengths and strategic interests in healthcare create the potential for future collaboration in this growing field."
doc2016
2 weeks ago
add inovio ip to the below?
how cuda-q could be used in mrna work.......it's essential or the project of such could never be considered.
"asking gemini ai some questions, but thinking add inovio ip of plasmid and synthetic dna with potential of the synthetic dna using msft ip...see below.
"Microsoft's research into DNA data storage involves a fascinating process of converting digital information into the language of life. Here's a simplified breakdown of how they transcribe data into DNA:
1. Encoding Digital Data:
Binary to Base-4: Digital data is typically stored in binary code (0s and 1s). This binary code is converted into a base-4 format, which aligns with the four nucleotide bases in DNA: adenine (A), cytosine (C), guanine (G), and thymine (T).
Example: 00 could be encoded as A, 01 as C, 10 as G, and 11 as T.
2. DNA Synthesis:
Creating DNA Strands: A DNA synthesizer machine uses this base-4 code to chemically create synthetic DNA strands. Each strand represents a portion of the digital data.
Redundancy and Error Correction: Multiple copies of the DNA strands are created, and error-correcting codes are incorporated to ensure data integrity.
3. DNA Storage:
Dried and Stored: The synthesized DNA is dried and stored in small vials, which can be kept at room temperature for long periods.
4. Data Retrieval:
DNA Sequencing: When the data needs to be retrieved, the DNA is rehydrated and sequenced using a DNA sequencer. This machine reads the sequence of nucleotide bases in the DNA strands.
Decoding: The sequenced DNA code is then decoded back into the original binary format, restoring the digital data.
Key Technologies:
DNA Synthesis: Advances in DNA synthesis technology have made it possible to create custom DNA strands with high accuracy and efficiency.
DNA Sequencing: High-throughput DNA sequencing technologies allow for rapid and accurate reading of DNA sequences.
Error Correction: Sophisticated error-correcting codes are used to ensure data integrity during storage and retrieval.
Advantages of DNA Data Storage:
High Density: DNA can store vast amounts of information in a tiny volume.
Durability: DNA is a very stable molecule, capable of preserving information for thousands of years.
Low Energy Consumption: DNA storage requires minimal energy compared to traditional data centers.
Challenges:
Cost: DNA synthesis and sequencing are currently expensive processes.
Speed: Writing and reading data from DNA is slower than traditional storage methods.
Automation: The process of encoding, synthesizing, storing, and retrieving data from DNA needs to be further automated for practical applications.
Microsoft's Progress:
Microsoft has made significant strides in automating the process of DNA data storage and retrieval. They have demonstrated the ability to store and retrieve data in DNA with high accuracy, and they are working to reduce the cost and increase the speed of this technology.
While DNA data storage is still in its early stages, it holds immense potential for long-term archival storage and could revolutionize the way we store and preserve information in the future.
Sources and related content
What Is Digital Data? - Egnyte
www.egnyte.com
A Practical Approach to Ultra Long-Term Data Storage on DNA - Microsoft Research
www.microsoft.com
DNA for Data Storage and Retrieval - Federation of American Scientists
fas.org
DNA Sequencing Fact Sheet - National Human Genome Research Institute
www.genome.gov
Microsoft and University of Washington researchers set record for DNA storage
blogs.microsoft.com
can the microsoft dna transcription method be used to make a vaccine?
While Microsoft's DNA data storage technology and the creation of vaccines both involve DNA, they serve very different purposes and utilize distinct processes.
Here's why Microsoft's DNA transcription method is not directly applicable to vaccine development:
Microsoft's DNA Data Storage:
Focus: Storing digital information (0s and 1s) in the sequence of DNA bases (A, C, G, T).
Process: Encoding digital data into a base-4 format, synthesizing DNA strands that represent the data, and using sequencing to retrieve the information.
Goal: Long-term archival storage of vast amounts of data.
Vaccine Development:
Focus: Triggering an immune response in the body to protect against diseases.
Traditional Methods: Often involve using weakened or inactive viruses or viral proteins to stimulate the immune system.
mRNA Vaccines: Newer mRNA vaccines deliver genetic instructions (mRNA) to cells, prompting them to produce a viral protein that triggers an immune response.
Goal: Disease prevention and immunity.
Key Differences:
Information vs. Biological Function: DNA data storage focuses on encoding and storing information, while vaccines utilize DNA or RNA to trigger biological processes in the body.
Synthetic vs. Natural: Microsoft's method uses synthetic DNA created in a lab, while vaccines often utilize natural or modified biological components.
Data Retrieval vs. Immune Response: DNA data storage aims to retrieve the stored information, while vaccines aim to stimulate a lasting immune response.
Potential Indirect Connections:
While not directly applicable, Microsoft's research in DNA manipulation could indirectly contribute to vaccine development in the future:
DNA-based Vaccines: Some vaccines under development use DNA to deliver genetic instructions to cells, similar to mRNA vaccines. Microsoft's expertise in DNA synthesis and manipulation could potentially be helpful in this area.
Data Storage for Vaccine Development: DNA data storage could be used to store vast amounts of genomic data and research related to vaccine development, aiding in the identification of new targets and the design of more effective vaccines.
In Summary:
Microsoft's DNA transcription method for data storage is not directly used to make vaccines. However, their research in DNA technologies could indirectly contribute to advancements in vaccine development in the future.""
MiamiGent
1 year ago
So, let's see. INO is valued at three and a half cents, today, when the two most recent Reverse Splits are accounted for. So with this new Split, whatever the SP briefly pops to will have to be divided by a further twelve.
I bet the SP ends up a subbie, below a penny.
When you think of all the unconscionable pumpers that pushed Inovio, including one saying INO was even more valuable than Google, it really disgusts.
So many mostly young, poor, hopeful 'nubes wiped out with this scam.
MG
Father of The Inovio Scam Expose
MiamiGent
1 year ago
Because it's a POS stock. A long running scam.
Mr Inovio everything (founder, president, ceo and director & chairman until 2019) Avtar Dhillon is been facing stock fraud charges in Massachusetts.
CEO Kim and the Scottish women have taken off.
Inovio has not accomplished a single drug, therapy or vaccine in it's entire 47 years. Zero. And suckered investors for about 1B
Stay away from INO- It's a Scam and always has been since it started as a penny stock promoted by Dhillon.
The most recent two Reverse Splits were both 1 for 4. So, divide the current SP by 4, and then 4 again.
A few cents. That's what the market thinks of this penny stock scam.
MG
Father of The Inovio Scam Expose
No position in about twelve years
Was no burnt by INO