Tag: company

NEW YORK and VIENNA, July 18, 2025 (GLOBE NEWSWIRE) -- HOOKIPA Pharma Inc. (NASDAQ: HOOK, “HOOKIPA”), a clinical-stage biopharmaceutical company developing next-generation immunotherapeutics for the treatment of cancer and serious infectious diseases, today announced its intention to voluntarily delist from the Nasdaq Capital Market (“Nasdaq”) and to deregister its common stock under Section 12(b) and Section 12(g) of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), and suspend its reporting obligations under Section 15(d) of the Exchange Act.

SOUTH SAN FRANCISCO, Calif., July 18, 2025 (GLOBE NEWSWIRE) -- Cytokinetics, Incorporated (Nasdaq: CYTK) today announced that on July 16, 2025 it granted stock options to purchase an aggregate of 131,683 shares of common stock and 88,755 restricted stock units (RSUs) that will be settled in shares of common stock upon vesting to 18 employees, whose employment commenced in June and July 2025 as a material inducement to their employment.

CAMBRIDGE, Mass., July 18, 2025 (GLOBE NEWSWIRE) -- Vor Bio (Nasdaq: VOR), a clinical-stage biotechnology company transforming the treatment of autoimmune diseases, today announced that, effective as of July 17, 2025, the Compensation Committee of the Board of Directors granted Qing Zuraw, M.D., the Company’s Chief Development Officer, 4,373,040 stock options and 937,080 restricted stock units (“RSUs”) in connection with the commencement of her employment. The foregoing stock option and RSU awards were granted as a material inducement to employment with Vor Bio in accordance with Nasdaq Listing Rule 5635(c)(4) and were granted under the Vor Biopharma Inc. 2023 Inducement Plan (the “Inducement Plan”).

WARREN, N.J., July 18, 2025 (GLOBE NEWSWIRE) -- Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN) announced today that the International Bureau of the World Intellectual Property Organization (WIPO) has published its international patent application (Publication No. WO 2025/129197) titled, "Systems and Methods for Predicting Immunologically Active Peptides with Machine Learning Models."