Pharmaceutical companies are investing over $1 billion in AI technologies to advance bispecific antibody development, aiming to mitigate clinical risks and manufacturing challenges. AI platforms help optimize dual-target engagement, predict immune response risks, and improve production processes, enhancing drug development efficiency in competitive oncology markets. Leading firms like Takeda, Sanofi, and Pfizer are integrating AI to accelerate R&D while navigating regulatory demands for model transparency. This shift signals a move away from traditional trial-and-error methods toward precision engineering supported by AI, with partnership-driven investments expected to drive future growth.
The FDA has granted accelerated approval to Sanofi's Tzield (teplizumab-mzwv) for children aged 8 to 17 recently diagnosed with stage 3 type 1 diabetes (T1D). This is the first disease-modifying therapy aimed at delaying the decline of insulin produc...
The FDA granted accelerated approval to Sanofi's Tzield (teplizumab-mzwv) for children aged 8 to 17 recently diagnosed with stage 3 type 1 diabetes (T1D). Tzield slows the decline of the body's insulin production by targeting the autoimmune process c...
A recent study by Spherix Global Insights highlights the unmet need for new treatments in warm autoimmune hemolytic anemia (w-AIHA), especially beyond second-line therapies where no clear standard exists. Current treatments rely heavily on corticoste...
Recludix Pharma announced preclinical results for REX-8756, an oral STAT6 inhibitor, showing strong efficacy and safety in models of allergic asthma and dermatitis. The data, presented at two major allergy and dermatology congresses, indicate that RE...
Sanofi has stopped its Phase 3 MOBILIZE trial testing riliprubart for chronic inflammatory demyelinating polyneuropathy (CIDP) due to unlikely efficacy success, though no safety issues were found. The company will review other riliprubart studies and...
