TechCrunch

OCTOBER 15, 2020

Savana , a machine learning-based service that turns clinical notes into structured patient information for physicians and pharmacists, has raised $15 million to take its technology from Spain to the U.S., the company said. Can API vendors solve healthcare’s data woes? ” Company co-founder and chief medical officer Dr.

Pharmaceuticals 182

Pharmaceuticals Artificial Inteligence Healthcare Machine Learning 182

Altexsoft

FEBRUARY 1, 2019

According to McKinsey , machine learning and artificial intelligence in pharma and medicine are going to revolutionize the industries to help them make better decisions, optimize innovations, improve the efficiency of clinical and research trials, and provide for new tools for physicians, consumers, regulators, and even insurers.

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Artificial Inteligence Machine Learning Pharmaceuticals Artificial Intelligence 68

TechCrunch

JULY 20, 2021

In 2006, Alonge was a victim of fake pharmaceuticals and almost died after taking medicine that contained lethal levels of diazepam. The machine learning model reads the sample spectra and send test results indicating the identity and the quality versus the reference. He went into a coma for three weeks.

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Technical Review Pharmaceuticals Authentication Quality Assurance 261

TIBCO - Connected Intelligence

MARCH 4, 2021

This makes the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms an important resource for today’s data science-driven organizations that must invest in this critical technology. TIBCO remains a strong competitor and innovator. Partner with an expert to accelerate innovation.

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Artificial Inteligence Machine Learning Software Analytics 72

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%). From an individual’s perspective, it keeps careers interesting and helps people grow with the organization.

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Technical Review Pharmaceuticals Security Training 340

CIO

MARCH 2, 2023

One of the biggest things I’ve learned is you can’t do automation to the business; you have to do it with the business.” We’ve matured our practice around automation and built architecture that’s enabled us to be nimble, innovative, and able to pivot quickly in a dynamic, global healthcare environment.”

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Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 358

CIO

SEPTEMBER 8, 2023

Managing inventory, both pre-operative and post-operative, is time consuming because the inventory replenishment process is reactive,” says Jim Swanson, CIO at US pharmaceutical and medical technologies company Johnson & Johnson. As an example, Swanson points to total knee arthroplasty (TKA) and total hip arthroplasty (THA) procedures.

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Artificial Inteligence Weak Development Team Healthcare Machine Learning 264

TechCrunch

JANUARY 17, 2021

One of the most notable was AARP Innovation Lab, the non-profit’s startup accelerator program. Other startups from AARP Innovation Lab focus on helping caregivers, too. On the clinical side, Embleema ’s software allows clinical investigators to share data and design studies, making pharmaceutical research more efficient.

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Pharmaceuticals Virtualization Artificial Inteligence Machine Learning 307

Perficient

MAY 21, 2024

Clinical trials are integral to the safe and efficient delivery of new pharmaceuticals. Tasked with collaborating on trials and delivering groundbreaking innovations to market, the client’s teams struggled to collaborate or to rapidly make important decisions based on incoming clinical trial data across its multiple aging platforms.

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Pharmaceuticals Artificial Inteligence Data Systems Review 52

CIO

DECEMBER 5, 2023

EMEA organisations expect cloud computing to improve productivity, enable innovation and new product/service development, and upgrade legacy tech with lower total cost of ownership. Over the next five years, Huawei Cloud aims to support 1,000 European startups to grow on cloud, further building innovation within the ecosystem.

Cloud 246

Cloud Artificial Inteligence Artificial Intelligence Compliance 246

CIO

NOVEMBER 11, 2022

As the global COVID-19 pandemic was beginning to spread, the company, one of the world’s largest suppliers of pharmaceuticals, medical devices, and consumer packaged goods, needed to reduce costs, speed up tasks, and improve the accuracy of its core business operations. But organizations like J&J wanted to take automation further.

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Artificial Inteligence Pharmaceuticals Artificial Intelligence Technical Review 306

TechCrunch

APRIL 22, 2021

To accomplish this, Medchart makes use of AI and machine learning to create a deeper understanding of the data set in order to be able to intelligently answer the specific questions that data requesters have of the information. So what are the business decision points that you’re trying to make with this data?”

Data 243

Data Pharmaceuticals Artificial Inteligence Insurance 243

CIO

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Unless you turn an app on manually, NLP programs must operate in the background, waiting for that phrase.

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Artificial Inteligence Technical Review Artificial Intelligence Systems Review 355

Palo Alto Networks

AUGUST 2, 2024

Artificial intelligence (AI) is at the forefront of business innovation. But what if the organization rushed that application to market without considering supply chain vulnerabilities in the app ecosystem – including corrupt AI and machine learning (ML) packages and model vulnerabilities?

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Artificial Inteligence Applications Real Estate Pharmaceuticals 100

TechCrunch

APRIL 21, 2022

Reid also claims a higher level of automation for its machines — which, to be clear, are still at prototype stage. But bioreactors were only very recently only found in biotech and pharmaceutical laboratories and aren’t exactly designed for easy operation and customization. To operate it, you don’t need a Ph.D.,

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Hardware Off-The-Shelf Biotech Pharmaceuticals 233

Altexsoft

APRIL 27, 2023

In this article, we’ll review the most popular use cases of machine learning and AI in pharma and back them with real-life examples from industry leaders. Machine learning algorithms can be used to predict future sales of particular drugs or spot growth. An innovative CV clinical trial run by AstraZeneca.

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Analytics Innovation Development Data 52

TechCrunch

MARCH 9, 2021

Overall, it had about 500 customers as of January across a range of industries from technology to pharmaceutical to aerospace and defense to banking. Over the years, SeekOut has built out a database with hundreds of millions of profiles using its AI-powered talent search engine and “deep interactive analytics.” Image courtesy of SeekOut.

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Meeting Recruiting Pharmaceuticals Artificial Inteligence 299

Perficient

JANUARY 4, 2024

The continual evolution of these technologies has empowered businesses to leverage advanced algorithms, predictive modeling, and generative capabilities, driving unprecedented innovation and efficiency.

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Artificial Inteligence Artificial Intelligence Generative AI Pharmaceuticals 72

TechCrunch

MARCH 23, 2023

It’s rarely so simple, but Pragma is building a gigantic statistical model (with machine learning mixed in, of course) of all these things to identify likely candidates for investigation. Might be a good idea to isolate molecule C and see if it can be used to help others use therapy A, right?

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Pharmaceuticals Machine Learning Artificial Inteligence Testing 201

Modern CTO

MAY 30, 2024

We discuss how their innovative technology is making cancer less scary, the necessary considerations of data in healthcare, and how AI is playing a central role in paving these paths. To learn more about SOPHiA GENETICS, check out their website here. Today we’re talking to Abhimanyu Verma, CTO at SOPHiA GENETICS.

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Artificial Inteligence Technology Healthcare Pharmaceuticals 59

CIO

OCTOBER 22, 2024

Multicloud is becoming a reality because big enterprise does not want to be locked into a single cloud or face huge fees to move workloads efficiently, says Stardog CEO Kendall Clark, acknowledging that the additional complexity, especially for AI, is real and expensive but maintains that demand will drive innovation for interoperability.

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Strategy AWS Cloud Data Center 321

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 331

Data Database Administration Data Engineering Artificial Inteligence 331

CIO

JUNE 7, 2022

They process and analyze data, build machine learning (ML) models, and draw conclusions to improve ML models already in production. A data scientist is a mix of a product analyst and a business analyst with a pinch of machine learning knowledge, says Mark Eltsefon, data scientist at TikTok.

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Artificial Inteligence Technical Review Fractional CTO Data Engineering 363

CIO

MARCH 13, 2023

The lure of applied AI Across the board, CIOs and other IT leaders are hiring software engineers, machine learning engineers, data scientists, digital project managers, and cloud professionals, and many are, in fact, offering them the opportunity to work on impactful and innovative projects.

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Healthcare Real Estate Artificial Inteligence Machine Learning 246

TechCrunch

DECEMBER 15, 2021

Yelda Kaya, formerly of J&J Innovation, will join as chief business officer. . Generate Bio, which just raised a $370 million Series B , has also used a machine learning approach. . That may occur through collaboration with a pharmaceutical partner, though the company hasn’t ruled out creating a drug pipeline of its own. .

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System Artificial Inteligence 3D Pharmaceuticals 203

Cloudera

JUNE 11, 2024

The bank’s teams built Next Best Conversation, a centralized platform that uses machine learning to analyze real-time contextual data from customer conversations related to sales, service, and other variables to deliver unique insights and opportunities to improve operations.

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Generative AI Artificial Inteligence Enterprise Data 92

CIO

MAY 10, 2023

focuses on driving mobility and tapping on the then-nascent Internet of Things, the subsequent phase prominently features technology such as artificial intelligence and machine learning and ways to extend their use across every aspect of the business. Whereas digital transformation in its earliest iteration—digital transformation 1.0—focuses

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Enterprise Artificial Inteligence Healthcare Pharmaceuticals 130

AWS Machine Learning - AI

FEBRUARY 6, 2024

Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Because of the sensitive nature of the data and effort involved, pharmaceutical companies need a higher level of control, security, and auditability. This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture.

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Generative AI AWS Lambda Technical Review 118

TechCrunch

NOVEMBER 3, 2020

We look forward to working with the company to help them sustain their impressive global growth, and continued innovation in upskilling and reskilling,” said Steve Kuo, senior MD and Technology Group head at Hercules Capital, in a statement. Udacity is for now not looking at any acquisitions, he added, for another 6-12 months.

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Perficient

OCTOBER 4, 2023

CLIENT An American multinational corporation that develops medical devices, pharmaceuticals, and consumer packaged goods. To meet clinical, business, and evolving consumer needs, healthcare and life sciences organizations are focused on care delivery that enables innovation in patient engagement, data and analytics, and virtual care.

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Software Review Systems Review Healthcare AWS 52

Perficient

SEPTEMBER 25, 2024

Clinical trial data management is critical to pharmaceutical research, yet it remains a significant challenge for many organizations. Contact us to learn about our life sciences and healthcare expertise and capabilities , and how we can help you transform your business.

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Artificial Inteligence Data Artificial Intelligence Technical Review 52

Perficient

FEBRUARY 21, 2024

With a passion for technology and an innate drive for innovative solutions, Nico brings a wealth of experience in architecting intricate solutions to real business challenges. Since 2022, Nico has served as lead architect for a groundbreaking clinical data review platform at a global pharmaceutical leader.

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Generative AI Pharmaceuticals Data Technical Review 52

Capgemini

MARCH 16, 2023

The life sciences industry has long been driven by the need to develop and exploit solutions as quickly as possible, leading to it being very much at the forefront of technological innovation. Some examples of technological innovation in life sciences are: Graph technologies in drug discovery.

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Pharmaceuticals Innovation Machine Learning Artificial Inteligence 52

TechCrunch

JANUARY 12, 2022

Its customers hail from a range of industries, from technology to pharmaceutical to aerospace and defense to banking. . “ It finds talent by scouring public data and using natural-language and machine-learning technologies to understand the expertise of each candidate to build a complete 360-degree view of each potential employee.

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Enterprise Recruiting Pharmaceuticals Machine Learning 197

N2Growth Blog

OCTOBER 23, 2023

With the constant advancements in technology and research, businesses in this sector require leaders who possess a deep understanding of the scientific landscape and the business acumen to drive growth and innovation. Biotech companies operate in highly dynamic and innovative environments where collaboration and adaptability are essential.

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Biotech Strategy Artificial Inteligence Recruiting 178

Palo Alto Networks

JANUARY 27, 2021

How can business and technology leaders ensure the security of their organizations while keeping pace with accelerated digital transformation such as the shift to cloud, the rise of machine learning and the growth of the Internet of Things? Mike Towers, CISO, Takeda Pharmaceuticals International.

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Pharmaceuticals Internet Artificial Inteligence Machine Learning 79

N2Growth Blog

JANUARY 10, 2024

With the guidance and support of experienced executive search consultants, companies can strengthen their leadership teams and drive innovation, growth, and success in the life sciences industry. The rapid pace of innovation and advancement in the sector further compounds the challenges of leadership recruitment.

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