The recent rapid development of large language models (LLMs) has sparked a new wave of
technological revolution in medical artificial intelligence (AI). While LLMs are designed to …

Large language models (LLMs) have the potential to transform digital healthcare, as
evidenced by recent advances in LLM-based virtual doctors. However, current approaches …

Multi-Modal Large Language Models (MLLMs), despite being successful, exhibit limited
generality and often fall short when compared to specialized models. Recently, LLM-based …

Large language models (LLMs) have exhibited remarkable capabilities across various
domains and tasks, pushing the boundaries of our knowledge in learning and cognition. The …

The massive population election simulation aims to model the preferences of specific groups
in particular election scenarios. It has garnered significant attention for its potential to …

Large language models (LLMs) have had a significant impact on diverse research domains,
including medicine and healthcare. However, the potential of LLMs as copilots in medical …

Clinical decision making (CDM) is a complex, dynamic process crucial to healthcare
delivery, yet it remains a significant challenge for artificial intelligence systems. While Large …

Electronic Medical Records (EMRs), while integral to modern healthcare, present
challenges for clinical reasoning and diagnosis due to their complexity and information …

Traditional sociological research often relies on human participation, which, though
effective, is expensive, challenging to scale, and with ethical concerns. Recent …

Proteins are essential to life's processes, underpinning evolution and diversity. Advances in
sequencing technology have revealed millions of proteins, underscoring the need for …