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AI Integration In Biotech & Pharma: Companies Positioned To Benefit

AI Integration In Biotech & Pharma: Companies Positioned To Benefit

生物技術和製藥行業的人工智能整合:公司有望從中受益
Benzinga ·  2023/09/11 13:27

The convergence of artificial intelligence (AI) with the biotech and pharmaceutical sectors is ushering in a new era of innovation. AI is catalyzing transformations from drug discovery to patient care. For investors keen on capturing this intersection's potential, several publicly traded companies are making significant strides in embedding AI into their operations.

人工智能(AI)與生物技術和製藥行業的融合正在開創一個新的新時代。人工智能正在推動從藥物發現到患者護理的轉變。對於熱衷於抓住這一交叉點潛力的投資者來說,幾家上市公司在將人工智能嵌入其運營方面取得了長足的進步。

Recursion Pharmaceuticals

遞歸製藥

Merging experimental biology with AI, Recursion's (NASDAQ:RXRX) platform is designed to reimagine therapeutic discovery. Their AI-driven approach aids in identifying novel drug candidates and repurposing existing drugs for new indications, thus potentially shortening the drug development timeline.

Recursion(納斯達克股票代碼:RXRX)的平台將實驗生物學與人工智能融爲一體,旨在重新構想治療發現。他們的人工智能驅動方法有助於識別新的候選藥物,並將現有藥物重新用於新的適應症,從而有可能縮短藥物開發時間。

See More on Recursion Pharmaceuticals in this Article

在本文中查看有關復歸藥物的更多信息

23andMe

23andMe

Initially known for its direct-to-consumer DNA testing kits, 23andMe (NASDAQ:ME) has evolved its business model to leverage its vast genetic database for drug discovery. The integration of AI can further refine and expedite this process, enabling the identification of new therapeutic targets or enhancing personalized medicine.

23andMe(納斯達克股票代碼:ME)最初以其直接面向消費者的DNA檢測試劑盒而聞名,現已發展其商業模式,利用其龐大的遺傳數據庫進行藥物發現。人工智能的整合可以進一步完善和加快這一過程,從而能夠識別新的治療靶點或增強個性化醫療。

Novartis

諾華

As one of the global giants in the pharma space, Novartis (NYSE:NVS) is actively integrating AI across its operations. From optimizing clinical trial design to analyzing vast datasets for potential drug candidates, Novartis sees AI as instrumental in advancing its research.

作爲製藥領域的全球巨頭之一,諾華(紐約證券交易所代碼:NVS)正在積極將人工智能整合到其運營中。從優化臨床試驗設計到分析潛在候選藥物的大量數據集,諾華認爲人工智能在推進其研究方面發揮了重要作用。

Roche

羅氏

Roche's (OTC:RHHBY) interest in AI isn't just theoretical. They've acquired several companies and initiated partnerships in the digital health space, particularly focusing on using AI for diagnostics, drug discovery, and patient care.

羅氏(場外交易代碼:RHHBY)對人工智能的興趣不僅僅是理論上的。他們已經收購了多家公司,並在數字醫療領域建立了合作伙伴關係,特別專注於將人工智能用於診斷、藥物發現和患者護理。

Pfizer

輝瑞公司

Pfizer's (NYSE:PFE) partnerships in the realm of AI demonstrate its commitment to pushing the frontiers of drug discovery. By collaborating with tech companies specializing in AI, Pfizer is looking to harness AI's power to decipher complex biological data, which can potentially lead to new therapeutic breakthroughs.

輝瑞(紐約證券交易所代碼:PFE)在人工智能領域的合作伙伴關係表明了其對開拓藥物發現前沿的承諾。通過與專門從事人工智能的科技公司合作,輝瑞希望利用人工智能的力量來破譯複雜的生物學數據,這有可能帶來新的治療突破。

Johnson & Johnson

強生公司

J&J (NYSE:JNJ) is embedding AI in various domains, from R&D to sales. Their AI-driven initiatives aim to boost drug discovery efficiency, enhance patient engagement, and even optimize sales strategies.

強生(紐約證券交易所代碼:JNJ)正在將人工智能嵌入從研發到銷售的各個領域。他們的人工智能驅動計劃旨在提高藥物發現效率,增強患者參與度,甚至優化銷售策略。

Regeneron Pharmaceuticals

再生元製藥

Known for its innovative drugs, Regeneron (NASDAQ:REGN) has been tapping into AI and big data to understand complex diseases better. By decoding vast datasets, AI assists Regeneron in pinpointing novel drug targets.

Regeneron(納斯達克股票代碼:REGN)以其創新藥物而聞名,一直在利用人工智能和大數據來更好地了解複雜的疾病。通過解碼龐大的數據集,人工智能幫助Regeneron精確定位新的藥物靶標。

Illumina

Illum

While primarily recognized for its gene sequencing technologies, Illumina (NASDAQ:ILMN) is also venturing into the AI space. Their AI initiatives center around interpreting the massive datasets generated by sequencing, paving the way for insights that can revolutionize personalized medicine.

Illumina(納斯達克股票代碼:ILMN)雖然主要以其基因測序技術而聞名,但也在涉足人工智能領域。他們的人工智能計劃圍繞着解釋測序生成的海量數據集,爲能夠徹底改變個性化醫療的見解鋪平了道路。

Conclusion

結論

The fusion of AI with biotech and pharma is poised to reshape the healthcare landscape. These publicly traded companies, with their AI-integrated approaches, are likely at the forefront of this transformation. While they are leading the charge, it's crucial to recognize that the biotech and pharma sectors are inherently volatile.

人工智能與生物技術和製藥的融合有望重塑醫療保健格局。這些上市公司憑藉其人工智能整合的方法,很可能處於這種轉型的最前沿。在他們處於領先地位的同時,至關重要的是要認識到,生物技術和製藥行業本質上是波動性的。

Author: Steve Macalbry of BestGrowthStocks.Com

作者:BestGrowthStocks.com 的史蒂夫·麥卡爾布里

Disclaimer: This article is intended for informational purposes only. It should not be considered financial or investment advice. We do not hold any form of equity in the securities mentioned in this article. Always consult with a certified financial professional before making any financial decisions.

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声明:本內容僅用作提供資訊及教育之目的,不構成對任何特定投資或投資策略的推薦或認可。 更多信息
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