On May 20, 2026 C4 Therapeutics, Inc. (C4T) (Nasdaq: CCCC), a clinical-stage biopharmaceutical company dedicated to advancing targeted protein degradation (TPD) science, reported that C4T management will participate in the upcoming conferences.

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TD Cowen 7th Annual Oncology Innovation Summit: Insights for ASCO (Free ASCO Whitepaper) & EHA (Free EHA Whitepaper)

Management will participate in a virtual fireside chat on May 26, 2026, at 2:30 pm ET.

2026 Jefferies Global Healthcare Conference

Management will participate in a fireside chat on June 3, 2026, at 8:45 am ET, taking place in New York, New York.

Goldman Sachs 47th Annual Global Healthcare Conference

Management will participate in 1×1 meetings on June 10, 2026, taking place in Miami, FL.

The live webcasts will be available on the Investors section of the company’s website at www.c4therapeutics.com. Archived replays of the webcasts will be available for approximately 90 days following the events.

(Press release, C4 Therapeutics, MAY 20, 2026, View Source [SID1234665891])

On May 20, 2026 Bristol Myers Squibb (NYSE:BMY, "BMS"), a global biopharmaceutical leader, reported a strategic agreement with Anthropic to deploy Claude across the company’s research, clinical development, manufacturing, commercial, and corporate functions. The collaboration signals a meaningful evolution in how BMS deploys AI, moving beyond conversational tools that have defined the first wave of enterprise adoption, toward agentic capabilities built into the day-to-day workflows and systems that underpin its science and global operations.

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BMS will deploy Claude broadly across the company, empowering more than 30,000 employees with advanced reasoning and agentic capabilities. The deployment focuses on three priorities where BMS expects the highest near-term impact:

Accelerating engineering with Claude Code. BMS’ engineering and data science teams will leverage Claude Code to speed software and AI development. By standardizing how they build and deploy capabilities across the enterprise, teams can unlock data and expertise long trapped in the disconnected systems that define biopharma today.

Embedding agents into the workflows that move drugs forward. BMS will evaluate the potential for Claude to serve as the agentic layer within priority workflows where AI is already driving impact across the value chain, including:
Research: Applying advanced AI reasoning to decades of BMS’ proprietary scientific, molecular, and clinical data, further enabling researchers to synthesize, interrogate, and extract predictive insights that accelerate target identification and optimization across oncology, hematology, neuroscience, and immunology.
Drug development: Bringing intelligent automation to the full arc of trial documentation, from drafting clinical study reports and patient safety narratives to supporting regulatory submissions, with the potential to compress the time between data lock and filing.
Manufacturing & quality: Enabling end‑to‑end acceleration across product development and manufacturing, from root‑cause investigation and Corrective and Preventive Action documentation to data‑driven batch release decisions – strengthening quality and compliance, accelerating decision‑making, and delivering medicines to patients faster and more reliably.
Commercial & medical affairs: Turning field insights into structured intelligence that enables more personalized and timely engagement with healthcare professionals, helping BMS connect the right information to the right people at the moments that matter most in their practice.

Connecting Claude to the institutional knowledge that lives across BMS. Through secure integrations with the systems and repositories where BMS’ scientific, clinical, regulatory, and commercial expertise resides, Claude’s agentic capabilities will help connect and activate that knowledge where and when it is most needed, with full enterprise governance and audit controls in place.
The collaboration builds on more than three years of AI investment at BMS, where the company has given employees unlimited access to leading frontier models through a proprietary internal platform. Those investments have established BMS as a leader in AI integration across research, clinical development, manufacturing and commercial functions, and reflect a deliberate multi-vendor strategy that draws on the best capabilities the industry has to offer.

"For more than 160 years, BMS has pushed the boundaries of science to transform patients’ lives, and artificial intelligence is the single most powerful opportunity we have to accelerate that mission today," said Greg Meyers, EVP and Chief Digital & Technology Officer, Bristol Myers Squibb. "Most enterprise AI stops at the chatbot. The real prize is the untapped value still trapped behind decades of data silos, and this collaboration is how we reach it. Anthropic’s Claude gives us the agentic capabilities, pace of innovation, and security necessary to connect our systems and put that collective knowledge in the hands of every BMS employee to accelerate innovation for patients. The companies that lead the next decade of biopharma will be the ones that learn to operate fundamentally differently with AI, and BMS intends to be one of them."

"By giving employees access to Claude’s agentic capabilities — connected to thousands of data sources across the company — BMS is creating a single intelligence layer that can generate a clinical study report from underlying trial data, surface the right scientific context from decades of internal research, or trace the root cause of a manufacturing deviation in real time," said Eric Kauderer-Abrams, Head of Life Sciences, Anthropic. "In a regulated global enterprise, that means medicines reach patients faster — with BMS’ scientific depth and operational rigor accelerated by Claude agents at every step."

(Press release, Bristol-Myers Squibb, MAY 20, 2026, View Source [SID1234665890])

On May 20, 2026 AIM ImmunoTech Inc. (NYSE American: AIM) ("AIM" or the "Company", reported that it has entered into definitive agreements for a registered direct offering priced at-the-market under NYSE Rules of an aggregate of 7,519,351 shares of common stock, par value $0.001 per share (the "Common Stock") (or common stock equivalents in lieu thereof) at a purchase price of $0.325 per share. The gross proceeds to the Company from the offering are expected to be approximately $2.4 million, before deducting placement agent commissions and other offering expenses. In addition, in a concurrent private placement, the Company will issue and sell unregistered Series I warrants (the "Series I Warrants") to purchase up to 15,038,702 shares of Common Stock. The Series I Warrants will have an exercise price of $0.325 per share, will be exercisable subject to stockholder approval and will expire five (5) years from the initial exercise date.

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Ladenburg Thalmann & Co. Inc. is acting as the exclusive placement agent for the offering.

The offering is expected to close on or about May 21, 2026, subject to the satisfaction of customary closing conditions.

The Company intends to use the net proceeds from the offering for (i) the manufacture of clinical drug supply, (ii) the Company’s planned Phase 3 clinical trial activities, and (iii) working capital purposes.

The Common Stock (or common stock equivalents in lieu thereof) are being offered and sold pursuant to a prospectus supplement to be filed with the Securities and Exchange Commission ("SEC") in connection with a takedown from the Company’s shelf registration statement on Form S-3 (File No. 333-286319), which was declared effective by the Securities and Exchange Commission ("SEC") on July 3, 2025. The offering is being made only by means of a prospectus supplement and accompanying prospectus which are a part of the effective registration statement. The warrants will be issued in a concurrent private placement. A prospectus supplement and the accompanying prospectus relating to the registered direct offering will be filed with the SEC and will be available on the SEC’s website at www.sec.gov. Additionally, when available, electronic copies of the prospectus supplement and the accompanying prospectus may be obtained from Ladenburg Thalmann & Co. Inc., 640 Fifth Avenue, 4th Floor, New York, NY 10019, by phone at (212) 409-2000, or by email at [email protected]. The private placement of the Series I Warrants and the shares underlying the warrants offered to the institutional investor(s) will be made in reliance on an exemption from registration under Section 4(a)(2) of the Securities Act of 1933, as amended (the "Securities Act"), and Regulation D promulgated thereunder. Accordingly, the securities issued in the concurrent private placement may not be offered or sold in the United States except pursuant to an effective registration statement or an applicable exemption from the registration requirements of the Securities Act and such applicable state securities laws.

This press release shall not constitute an offer to sell or the solicitation of an offer to buy any of the securities described herein, nor shall there be any sale of these securities in any state or other jurisdiction in which such offer, solicitation, or sale would be unlawful prior to the registration or qualification under the securities laws of any such state or other jurisdiction.

(Press release, AIM ImmunoTech, MAY 20, 2026, View Source [SID1234665889])

On May 19, 2026 Incyte (Nasdaq:INCY) and Edison Scientific reported a strategic collaboration to employ Kosmos, Edison’s AI scientist, for Incyte’s discovery and development work.

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Kosmos will be embedded across the Incyte discovery and development lifecycle, enabling continuous learning from translational and clinical data, real-time synthesis of evidence and predictive models of therapeutic performance.

The initial deployment will be focused on high-impact use cases in target discovery and validation and translational biology, centered on embedding Edison’s AI capabilities within Incyte’s research workflows to support more efficient exploration of experimental, clinical and biomarker data with the potential to expand across Incyte’s broader R&D organization. The companies will work together to measure impact on decision quality and long-term pipeline productivity as the system evolves.

"Our vision is for our data to become a learning system that enhances every decision," said Pablo J. Cagnoni, M.D., President and Global Head of Research and Development at Incyte. "This partnership aims to maximize our data’s value by integrating AI to guide experimental design and improve the quality and consistency of scientific and development decisions. Our goal is not just faster development, but better outcomes across our programs."

"By using systems that learn from our experimental and clinical data, we can enhance result interpretation, creating a feedback loop that boosts both speed and quality in future programs," added Patrick Mayes, Ph.D., Executive Vice President and Chief Scientific Officer at Incyte.

At the core of the collaboration is a new model for biopharma: one in which a company’s data is not just stored and analyzed, but becomes a compounding asset, used to train AI systems that improve over time and systematically enhance experimental and clinical outcomes.

"Most AI efforts in pharma treat data as something to analyze," said Sam Rodriques, Ph.D., Chief Executive Officer of Edison Scientific. "What we are building treats data as something to learn from continuously. The result is a system that compounds—where every experiment, every clinical readout and every decision improves the underlying models. That is how companies, like Incyte, will turn their data into a sustainable advantage over their competitors."

(Press release, Incyte, MAY 19, 2026, View Source [SID1234665885])

On May 19, 2026 Sensome, the pioneer of microsensing technology for real-time, intra-operative tissue analysis, reported positive results from its first-in-human INSPECT study evaluating its microsensor technology integrated into a smart stylet for bronchoscopic lung biopsy. The study showed that Sensome’s tumor detection technology safely and accurately identified and differentiated between cancerous tissue and healthy tissue. The study was presented today by Amir Hanna, MD, Interventional Pulmonologist and Principal Investigator of the INSPECT study for Marie-Lannelongue Hospital, France at the annual meeting of the American Thoracic Society (ATS) in Orlando, Florida.

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Lead author Dr. Hanna commented, "In this early study, the smart stylet accurately identified lesions or cancer amid the complex conditions of in situ lung tissue. With the learning curves of the technology’s algorithm suggesting the potential to exceed 90% overall performance,1 these results show clear promise for real-time decision support during lung biopsy. By confirming relevant sampling sites and tool-in-lesion, this technology holds promise to significantly boost biopsy diagnostic yield and shorten the path to lung cancer diagnosis and treatment."

Lung cancer is the most common and deadly cancer in the world, killing almost two million people globally each year. Detection of lung cancer in its early stages dramatically improves the five-year survival rate of patients when compared to late-stage detection. However, lung cancer is challenging to diagnose today with conventional methods, with an up to 58% failure rate in obtaining a successful biopsy,2 which causes repeat procedures and treatment delays of up to six months.3

Sensome’s technology is intended to confirm placement of a biopsy tool within a tumor during bronchoscopic biopsy of endobronchial and peripheral tumors without reliance on additional imaging modalities, which are not able to identify cancerous tissue. The novel tool-in-lesion system is designed to guide the bronchoscopist in precisely locating optimal biopsy sites, with the goal of reducing delays in the diagnosis and treatment of lung cancer.

INSPECT Study Results

The INSPECT study is a first-in-human, multi-center, single-arm study of 27 patients across Australia and France. In each case, the smart stylet was placed inside the biopsy needle and tissue readings were taken immediately prior to biopsy of each patient, with histopathology confirming accuracy of the measurement. Results were validated using cross-validation.

In the study, not only was the smart stylet able to differentiate between cancer and healthy tissue, but it also differentiated cancer from other non-cancerous tissue, such as necrotic tissue. With a dataset of only 27 patients, the Sensome technology demonstrated 80.9% accuracy in differentiating healthy from abnormal lung tissue—achieving sensitivity of 88.5% and specificity of 71.4%—and 78.7% accuracy when differentiating cancer from all other types of tissues—achieving sensitivity of 78.3% and specificity of 79.2%.1

"Lung cancer screening programs have commenced around the world, resulting in an explosion of demand for lung cancer biopsies. It is important that we have the tools that will enable us to respond to this new flood of patients with timely and accurate diagnosis," said Associate Professor David Fielding, Director of Thoracic Medicine at Royal Brisbane and Women’s Hospital in Australia and Principal Investigator of the INSPECT study. "The results from the INSPECT study suggest that Sensome’s smart stylet has the potential to provide this, especially as it integrates well into our existing workflow."

"We have developed a tool designed to assist clinicians in the moment of action, to ensure they are performing a biopsy of the cancerous tumor and not healthy or other non-cancerous tissue; a biopsy of non-cancerous tissue is not useful in arriving at a diagnosis. Our goal is to eliminate the trial and error associated with mistakenly performing biopsy on tissue that delays cancer diagnosis and treatment," said Sensome CEO Franz Bozsak. "Our technology works just like a conventional stylet used in biopsy today, except we have made it ‘smart’ with the integration of our sensor into the device, which provides biological intelligence. We are very encouraged by the positive results seen in this feasibility study and expect to see even greater accuracy from our technology in the future as its algorithms learn and improve from the additional patient data we will gather."

(Press release, Sensome, MAY 19, 2026, View Source [SID1234665884])