• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

PFIZER AND BIONTECH ANNOUNCE VACCINE CANDIDATE AGAINST COVID-19 ACHIEVED SUCCESS IN FIRST INTERIM ANALYSIS FROM PHASE 3 STUDY

November 9, 2020 By admin

Pfizer Inc. (NYSE: PFE) and BioNTech SE (Nasdaq: BNTX) today announced their mRNA-based vaccine candidate, BNT162b2, against SARS-CoV-2 has demonstrated evidence of efficacy against COVID-19 in participants without prior evidence of SARS-CoV-2 infection, based on the first interim efficacy analysis conducted on November 8, 2020 by an external, independent Data Monitoring Committee (DMC) from the Phase 3 clinical study.

After discussion with the FDA, the companies recently elected to drop the 32-case interim analysis and conduct the first interim analysis at a minimum of 62 cases. Upon the conclusion of those discussions, the evaluable case count reached 94 and the DMC performed its first analysis on all cases. The case split between vaccinated individuals and those who received the placebo indicates a vaccine efficacy rate above 90%, at 7 days after the second dose. This means that protection is achieved 28 days after the initiation of the vaccination, which consists of a 2-dose schedule. As the study continues, the final vaccine efficacy percentage may vary. The DMC has not reported any serious safety concerns and recommends that the study continue to collect additional safety and efficacy data as planned. The data will be discussed with regulatory authorities worldwide.

“Today is a great day for science and humanity. The first set of results from our Phase 3 COVID-19 vaccine trial provides the initial evidence of our vaccine’s ability to prevent COVID-19,” said Dr. Albert Bourla, Pfizer Chairman and CEO. “We are reaching this critical milestone in our vaccine development program at a time when the world needs it most with infection rates setting new records, hospitals nearing over-capacity and economies struggling to reopen. With today’s news, we are a significant step closer to providing people around the world with a much-needed breakthrough to help bring an end to this global health crisis. We look forward to sharing additional efficacy and safety data generated from thousands of participants in the coming weeks.”After discussion with the FDA, the companies recently elected to drop the 32-case interim analysis and conduct the first interim analysis at a minimum of 62 cases. Upon the conclusion of those discussions, the evaluable case count reached 94 and the DMC performed its first analysis on all cases. The case split between vaccinated individuals and those who received the placebo indicates a vaccine efficacy rate above 90%, at 7 days after the second dose. This means that protection is achieved 28 days after the initiation of the vaccination, which consists of a 2-dose schedule. As the study continues, the final vaccine efficacy percentage may vary. The DMC has not reported any serious safety concerns and recommends that the study continue to collect additional safety and efficacy data as planned. The data will be discussed with regulatory authorities worldwide.

“I want to thank the thousands of people who volunteered to participate in the clinical trial, our academic collaborators and investigators at the study sites, and our colleagues and collaborators around the world who are dedicating their time to this crucial endeavor,” added Bourla. “We could not have come this far without the tremendous commitment of everyone involved.”

“The first interim analysis of our global Phase 3 study provides evidence that a vaccine may effectively prevent COVID-19. This is a victory for innovation, science and a global collaborative effort,” said Prof. Ugur Sahin, BioNTech co-founder and CEO. “When we embarked on this journey 10 months ago this is what we aspired to achieve. Especially today, while we are all in the midst of a second wave and many of us in lockdown, we appreciate even more how important this milestone is on our path towards ending this pandemic and for all of us to regain a sense of normality. We will continue to collect further data as the trial continues to enroll for a final analysis planned when a total of 164 confirmed COVID-19 cases have accrued. I would like to thank everyone who has contributed to make this important achievement possible.”

The Phase 3 clinical trial of BNT162b2 began on July 27 and has enrolled 43,538 participants to date, 38,955 of whom have received a second dose of the vaccine candidate as of November 8, 2020. Approximately 42% of global participants and 30% of U.S. participants have racially and ethnically diverse backgrounds. The trial is continuing to enroll and is expected to continue through the final analysis when a total of 164 confirmed COVID-19 cases have accrued. The study also will evaluate the potential for the vaccine candidate to provide protection against COVID-19 in those who have had prior exposure to SARS-CoV-2, as well as vaccine prevention against severe COVID-19 disease. In addition to the primary efficacy endpoints evaluating confirmed COVID-19 cases accruing from 7 days after the second dose, the final analysis now will include, with the approval of the FDA, new secondary endpoints evaluating efficacy based on cases accruing 14 days after the second dose as well. The companies believe that the addition of these secondary endpoints will help align data across all COVID-19 vaccine studies and allow for cross-trial learnings and comparisons between these novel vaccine platforms. The companies have posted an updated version of the study protocol at https://www.pfizer.com/science/coronavirus.

Pfizer and BioNTech are continuing to accumulate safety data and currently estimate that a median of two months of safety data following the second (and final) dose of the vaccine candidate – the amount of safety data specified by the FDA in its guidance for potential Emergency Use Authorization – will be available by the third week of November. Additionally, participants will continue to be monitored for long-term protection and safety for an additional two years after their second dose.

Along with the efficacy data generated from the clinical trial, Pfizer and BioNTech are working to prepare the necessary safety and manufacturing data to submit to the FDA to demonstrate the safety and quality of the vaccine product produced.

Based on current projections we expect to produce globally up to 50 million vaccine doses in 2020 and up to 1.3 billion doses in 2021.

Pfizer and BioNTech plan to submit data from the full Phase 3 trial for scientific peer-review publication.

About Pfizer: Breakthroughs That Change Patients’ Lives
At Pfizer, we apply science and our global resources to bring therapies to people that extend and significantly improve their lives. We strive to set the standard for quality, safety and value in the discovery, development and manufacture of health care products, including innovative medicines and vaccines. Every day, Pfizer colleagues work across developed and emerging markets to advance wellness, prevention, treatments and cures that challenge the most feared diseases of our time. Consistent with our responsibility as one of the world’s premier innovative biopharmaceutical companies, we collaborate with health care providers, governments and local communities to support and expand access to reliable, affordable health care around the world. For more than 150 years, we have worked to make a difference for all who rely on us. We routinely post information that may be important to investors on our website at www.Pfizer.com. In addition, to learn more, please visit us on www.Pfizer.com and follow us on Twitter at @Pfizer and @Pfizer News, LinkedIn, YouTube and like us on Facebook at Facebook.com/Pfizer.

About BioNTech
Biopharmaceutical New Technologies is a next generation immunotherapy company pioneering novel therapies for cancer and other serious diseases. The Company exploits a wide array of computational discovery and therapeutic drug platforms for the rapid development of novel biopharmaceuticals. Its broad portfolio of oncology product candidates includes individualized and off-the-shelf mRNA-based therapies, innovative chimeric antigen receptor T cells, bi-specific checkpoint immuno-modulators, targeted cancer antibodies and small molecules. Based on its deep expertise in mRNA vaccine development and in-house manufacturing capabilities, BioNTech and its collaborators are developing multiple mRNA vaccine candidates for a range of infectious diseases alongside its diverse oncology pipeline. BioNTech has established a broad set of relationships with multiple global pharmaceutical collaborators, including Genmab, Sanofi, Bayer Animal Health, Genentech, a member of the Roche Group, Genevant, Fosun Pharma, and Pfizer. For more information, please visit www.BioNTech.de.

Source: Pfizer Inc.

Filed Under: Tech

Footer

Recent Posts

  • AltSql: An Embedded Database Engine That Syncs Devices and Gateways Without Conflicts
  • VPN Works: Uses Linux Network Namespaces to Isolate and Log Every Connection From an Agent
  • Precomputing: Materializes Dashboard Answers With SQLite Triggers as Data Arrives
  • Preconfiguration: Generates Reproducible Setup Across Multiple Cloud Platforms From One Spec
  • BareProxy: A Go Reverse Proxy That Makes Routing Decisions Explainable
  • AI Infrastructure Moves Beyond GPUs as Billions Flow Into Interconnects, Cloud, Robotics and Agent Systems
  • Supermicro Is Now Shipping NVIDIA Vera Rubin NVL72 Racks, With 1,152-GPU Scalable Units Ready to Order
  • Synopsys and TSMC Certify A14 Design Flows and Roll Out Agentic AI Chip Design Tools
  • Bird.com Secures $450M in Debt Financing and Opens Its Messaging Network to AI Agents
  • Meta AI Glasses Become the First Consumer Device to Record Dolby Atmos Audio

Media Partners

  • Market Analysis
  • BareProxy.com
  • App Coding
Small Infrastructure Primitives Run the $700 Billion AI Buildout, and Open Source Is How They Get Adopted
Screening Startup and Product Ideas After a Brainstorm: Four Questions, Money First
An AI Lab Is Paying Up Front for Atlas Energy’s (AESI) Generators as Agentic AI Multiplies Token Demand
Oracle’s Force Majeure Notice on Project Jupiter Shows Where AI Data Center Risk Is Landing
AI Infrastructure Credit Costs Rise as CoreWeave-Tied Bonds Price at 9.25% and China Chipmaker Profits Jump 620%
OpenAI and Anthropic Cut AI Model Prices as $1.75B in Funding Flows to Data, Security and Infrastructure
Semiconductor Revenue Hits Record $425B in Q2 2026, but Omdia’s $500B Q3 Forecast Implies Growth Halves
AI Extinction Warnings Went Global in Six Days. Nothing in the Technology Changed.
Anthropic Walks Away From $6 Billion Decart Acquisition: The Deal Was About Inference Cost, Not World Models
VR Status Report 2026: Quest Sales Keep Falling While Smart Glasses Take the Money
BareProxy 0.1 Alpha Adds Plan, Apply and Rollback
Introducing BareProxy, the Web Server and Reverse Proxy That Explains Itself
BareProxy Serves Hugo and Other Static Sites Straight From a Folder
How BareProxy Plan Shows What a Config Change Will Do Before It Goes Live
One Record per Request: How BareProxy Tracing Works
BareProxy Modules: Eight Add-Ons Around a Bare Core
Why BareProxy Routes on the Same Path It Forwards
About
Config Reference
Contact
A Background Job Queue in One SQLite File Covers What Most Apps Deploy Redis For
A Database Where Every Value Remembers Its Source, Confidence and Extraction Time
A Feature Store Small Enough to Embed: Point-in-Time Reads for Local and Edge ML
A Schema Diff That Warns Which Migration Will Lock a 40-Million-Row Table or Lose Data
A Single-File Log Database: Pipe Logs In, Query Them With SQL, Hand the File to Anyone
A Telemetry Database That Forgets on Purpose Keeps Rollups and Anomalies Instead of Raw Rows
A Tiny SQL Engine for JSON Streams Fits Between jq and a Stream Processing Cluster
An Embedded Sketch Database: Billions of Events, Megabytes of Storage, Error Bars on Every Answer
An Embedded Workflow Engine With Five Primitives: Trigger, Condition, Action, Wait and Retry
An Evidence Graph Built From Extracted Claims Keeps Contradictions Attached to Their Sources

Media Partners

  • AltSql.com
  • Technology Conferences
  • API Coding
AltSql Is a Native Hybrid of Key-Value and SQL, From the Sensor to the Gateway
AltSql Core and AltSql DB Are Now Open Source Under the Apache License 2.0
Introduction
AltSql DB 0.3 Adds Secondary Indexes and Statement Savepoints: A Lookup on a Million Rows Ran 198 Times Faster Than a Full Scan
How It Works
AltSql DB 0.2: SQL and Direct Calls Wrote Byte-Identical Files Over 100,000 Random Steps
AltSql DB Keeps a Whole Fleet in One File and Reads by Key 5 Times Faster Than SQLite Through SQL
AltSql Core and Six Prototypes Built Around It
AltSql Ask Puts One SQL Question to 500 Simulated Machines and Brings Back Only the Answers
Machine Monitoring Case Study: Overheat Alarm Handled on the Sensor While Wi-Fi Was Down
Sohn London Investment Conference 2026, November 18, London Marriott Grosvenor Square, London
SuperReturn Secondaries North America 2026, November 17–18, Convene 360 Madison, New York
Singapore FinTech Festival 2026, November 17–20, Singapore Expo, Singapore
SuperReturn Europe 2026, November 3–6, Hotel Okura, Amsterdam
Hong Kong FinTech Week x StartmeupHK 2026, November 2–6, Hong Kong Convention and Exhibition Centre, Hong Kong
Future Investment Initiative 2026, October 26–29, Riyadh
Money20/20 USA 2026, October 18–21, The Venetian Expo, Las Vegas
Sohn San Francisco Investment Conference 2026, October 13, San Francisco
Bloomberg New Economy Forum 2026, October 13–15, New Delhi
Milken Institute Asia Summit 2026, October 7–9, Four Seasons Hotel, Singapore
A Tiny ETL Binary Competes With curl, jq and SQLite in a Cron Job, So Build It That Small
An AI Agent Flight Recorder Belongs in One Portable File, the Way HAR Did It for HTTP
Benchmarking MCP Servers and Stateful API Workflows: Latency, Throughput and Tokens per Call
Diagnose a Slow API From One Request: DNS, Connect, TLS, Server Wait and Transfer
Finding API Endpoints, Tables and Flags Nobody Uses Takes Code and Traffic Together
Fuzzing MCP Servers: Generate Bad Arguments From the Tool Schema and Watch What Breaks
Give Any API a History: Poll It, Hash It and Query Old Versions With SQL
Infer Your API's Real Contract From Traffic, Then Diff It Against the Docs
Keeping Third-Party API Responses in SQLite Gets You a Cache, an Offline Mode and a History
LLM Response Caching Pays Off in CI, Evals and Agent Retries, Not in Chat

Copyright © 2026 Technologies.org

Media Partners: Market Analysis · Market Research · Referently · Photography