BioGPT: The future for Pharma & Healthcare is already here

Previously this week, we discussed the impact and applications of #GPT AI models on Pharmaceutical & Healthcare companies in our report "The Impact of GPT AI on Pharma Companies".

These Generative Pre-Trained Transformer models, after being trained with large amount of text data, have the capacity to generate real-time answers on a large variety of topics imitating human language. Therefore, the applications of these types of AI pre-trained models are huge and can be applied in most companies and industries.

As we talked last week, the integration of these GPT infrastructures in #Pharma could lead to improvements in many areas and internal processes of the companies. However, #BioGPT is going even further.

BioGPT is a new #ArtificialIntelligence language model released by 微软 , specifically created for the medical and healthcare industry. This model, as every pre-trained infrastructure, have been trained with a large set of biomedical text data, making it an extremely powerful tool for scientist and medical companies across the globe.

Is there any difference between Classic GPT & BioGPT models?

Yes, there are. In comparison, GPT models are trained with more general text data. On the other hand, BioGPT has a deeper knowledge and understanding of biomedical language.

Making it a more accurate tool to support biomedical tasks such as: Research, drugs Discovery, classification of patients and diseases, supporting clinical decision processes, etc.

In addition, thanks to its better understanding of biomedical matters, BioGPT is also able to differentiate between drug, gene, and proteins names. Giving much more detailed explanations and descriptions than Classical GPT Models.

What applications does BioGPT has?

1.?????Drug Discovery:

Researchers now can identify new drug targets and potential drug candidates more efficiently thanks to the deep analysis capacity of BioGPT engine. Which can analyse large amounts of data and resources.

2.?????Personalized medicine:

Personalized medicine is one of the biggest trends happening in the pharmaceutical sector. A huge challenge for companies and laboratories across the world, who now find themselves competing to develop personalized treatment plans. GPT can be used to analyse patient data, such as genomic data, medical history, and lifestyle factors, to help improve patient outcomes and reduce healthcare costs.

3.?????Drug Safety improvements:

GPT can help as well in monitoring drug safety by analysing adverse event reports and other safety data. Therefore, helping to identify potential safety issues early and improve patient safety.

4.?????Clinical trials design & analysis:

Thanks to the analysis capacity of GPT, larger volume of clinical trial data, including patient data and medical records, can be studied faster. Helping researchers to identify trends and behaviour patterns that could potentially optimize clinical trial design. Improving patient outcomes.

5.?????Identification, management & diagnosis of diseases:

With its Deep biomedical knowledge, BioGPT can help to analyse patient data, medical and scientific records, etc., in order to improve the diagnosis and management phases more efficiently.

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6.?????Competition analysis:

In an increasingly competitive environment such as the #Pharmaceutical and healthcare market, analysing and identifying potential competitors seems to be a must. BioGPT facilitates that task thanks to its capacity to analyse patent and scientific data bases.

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7.?????Medical education purposes:

Finally, BioGPT could be used as well for education and knowledge purposes. Helping not only students but also healthcare and medical professionals in keeping up to date with the latest findings and studies.

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Conclusions:

In conclusion, BioGPT seems to be a promising tool that will help and assists Pharmaceutical and healthcare companies and organisms in their journey to digitalization.

The changes that have been happening lately in Pharma could lead us to expect great challenges for healthcare and medical companies such as: the demand of personalised and customized medicines, higher quality standards and a more cost-oriented perspective in the market, etc.

In order to overcome these obstacles, Pharma and Healthcare companies need to rely on a higher digitalization and automation of their processes. That is why BioGPT brings a brighter future for Pharma.