Data & Technology

The company's latest service provides risk and quality management for the pharma and healthcare sectors.

By marrying real-world evidence and AI, pharma stakeholders can identify new opportunities to tailor interventions in a way that is most impactful to patients—helping them overcome roadblocks in initiating and maintaining therapy.

In an interview with Pharma Commerce Editor Nicholas Saraceno, Lung-I Cheng, PhD, VP, Head of Cell & Gene Therapy Service Line, Cencora, offers his thoughts on industry pain points and where he envisions the market progressing in terms of its technological capabilities.

These advancements continue to act as a key driver in helping to boost the security, efficiency, and innovation of global industries, include pharma.

Results from the CORE-001 clinical trial are expected to be presented at the American Society of Clinical Oncology (ASCO) 2024 Annual Meeting.

The decision comes after success during formulation testing with convincing stability data.

The agreement is expected to focus on cell manufacturing processes, with potential for sharing tech with academia, startups.

Company's annual Commercial Summit updates Veeva Vault CRM status, along with AI partnerships.

Panel discussion uncovers how to alter one’s digital know-how for use in temperature-controlled supply chain.

Masterclass session addresses looking beyond a dashboard by added capabilities with added value.

Results of the trial suggest that early intervention for intracerebral hemorrhage using parafascicular surgery were safe.

Companies striving for transformed and targeted growth are exploring strategies that include partnerships, artificial intelligence, increased efficiencies, and competitive intelligence.

The collaboration strengthens the capabilities of Tower’s advanced passive temperature-controlled containers.

Although AI has simplified various market access processes, this technology does also present its share of barriers, so what can be done to find a happy medium?

Although time has welcomed novel advances in the space, new challenges pertaining to data and the physical technology, along with visibility and sustainability, are emerging.

Why manufacturers should leverage technology to address low adherence rates.

Presentation offers insight on this aforementioned model that assists retail and specialty-lite brands.

Fireside chat uncovers ways to leverage this technology in order to boost medication adherence, engagement, and outcomes.

Under the group purchasing agreement, the serialization business will be the sole provider of DSCSA services for Premier’s 4,300-plus hospital and health system network.

The Asia-Pacific location is expected to provide serialization solutions for counterfeit medication entering the pharma supply chain.

A JAMA Network Open study dives into how the utilization of a digital patient portal changed during the COVID-19 pandemic, while also exploring ways that multimorbidity and socioeconomic disparities affected those statistics.

The offering reportedly helps avoid product quarantine.

The company’s cloud technology services aim to assist healthcare and pharma with AI integration.

OneScan 7.1 is expected to boost compliance, while also improving pharma supply chain efficiencies.

The partnership revolves around meeting various agency standards and industry requirements pertaining to the drug development and manufacturing lifecycle.

Personalized medicine approaches, informed by predictive modeling, could optimize treatment outcomes and reduce patient burden and costs.

The Masimo product is expected to address a significant gap in the market for dependable home-use medical devices.

Scientists develop algorithms that can not only identify tumors that will respond well to chemotherapy, but which are also likely to resist treatment.

The analysis notes that 60% of respondents were setting targets based on AI’s ability to either cut costs or boost productivity.

In this video interview with Associate Editor Miranda Schmalfuhs, Dr. Jo Varshney, CEO & Founder of VeriSIMLife, discusses how artificial intelligence and machine learning can assist in the drug shortage problem.