The healthcare industry is navigating a series of inflection points that could shape near-term performance and long-term growth. Investors and companies are assessing scientific progress in an environment shaped by U.S. reforms and global geopolitical uncertainties, from drug pricing debates to tariff tensions and the evolving role of China in biotech.
Conversations at Morgan Stanley’s 23rd Annual Global Healthcare Conference underscored that innovation remains a focus for companies in areas such as neurology, oncology and immunology, as well as the integration of AI and partnerships or strategic M&A between companies.
Based on panel discussions with the biggest companies’ executives at the conference, top healthcare themes for investors and corporates to watch are:
1. Breakthrough innovations shaping diagnostics, treatments and care delivery
2. AI use cases for efficiency and transformation across the value chain
3. China’s role in innovation and geopolitical complexity
4. Drug pricing and policy pressures that are reshaping markets
5. M&A and partnerships as companies position for the next decade
"Healthcare companies and investors are weighing medical innovations alongside policy uncertainty and shifting global dynamics,” said Siddhart Nahata, Global Head of Healthcare Investment Banking at Morgan Stanley. “How companies navigate this mix will shape where capital flows."
1. Innovations and New Technologies Transforming Healthcare
Recent advancements in areas such as oncology, immunology and neuroscience are redefining the landscape for companies, patients and investors. Some of the innovations shared by executives at the conference include:
- Patient testing developments. Integrated diagnostics are unlocking new ways to analyze patient data. Specialist doctors can now order all of the assays a patient might need and generate a unified report. Sequencing technology, in addition, is shifting from targeted panels to whole genome sequencing (WGS), enabling a single chassis of data that can support multiple analyses over time. Instead of fragmented results, clinicians and patients may benefit from comprehensive views that could be more actionable and cost effective. WGS may help detect rare or novel variants. Data centralization also enables data licensing because it creates standardized, comprehensive and reuseable datasets.
- Biomarker breakthroughs. New biomarkers are transforming how diseases are detected and monitored, with major implications in Alzheimer’s and oncology. In Alzheimer’s, blood-based tests are offering a faster and less-invasive alternative to spinal taps and PET scans, enabling earlier identification of patients for treatment and trials. In cancer, tumor DNA is powering liquid biopsies that detect mutations or recurrence from a simple blood draw, while minimal residual disease assays can reveal traces of cancer left after therapy.
- Subcutaneous delivery advancements. Executives highlighted innovations making the subcutaneous delivery of medications a more viable alternative to intravenous infusion. Enzyme-enabled dispersion and improvements in biologic formulations allow much larger fluid volumes to be administered under the skin, enabling patients to administer at home in much less time, safely and comfortably. Injectable medications are also freeing up clinic resources; one executive underscored how they are helping ease burden on neurology nurses, especially in the treatment of diseases such as Alzheimer’s.
- mRNA cancer vaccines. These represent a new modality beyond traditional cancer treatments such as surgeries, radiation, chemotherapy, targeted therapy and immunotherapy. mRNA cancer vaccines are designed to train the body’s own immune system to recognize and attack tumor-specific mutations. The same mRNA platforms that enabled rapid COVID-19 vaccines are now being repurposed in oncology to stimulate targeted immune responses. The vaccines sequence a patient’s tumor, identifying unique mutations, which also makes them customized to each patient’s cancer.
2. AI Use Cases in Healthcare
For most healthcare companies, artificial intelligence’s current value lies in cost savings and efficiency. Providers are deploying AI to streamline workflows, while drugmakers see its potential in areas like pricing and risk models. Patient-facing contact centers are another early application, as AI tools can improve service while lowering overhead.
Emerging use cases are taking shape in clinical research. By analyzing large datasets, AI can accelerate trial recruitment, identify the most promising geographies for enrollment and optimize trial design to better match real-world patient populations.
Though nascent now, looking further ahead AI may have application in drug discovery and development. The rise of foundation models and synthetic data—one corporate executive mentioned using cryopreserved tumor tissue for the latter—may be forming some of the backdrop of these applications by expanding useable datasets and enabling analytic power at scale. Still, biopharma companies are treading carefully in pursuing AI for drug development to prioritize patient safety.