@Andrew Steane provided a really good answer. For further insight into his line of reasoning as I understand it, I would recommend reading Chapter 1 of Information Theory, Evolution, and the Origin of Life (2009) by Hubert Yockey.
HeYockey writes:
The laws of physics and chemistry are much like the rules of a game such as football. The referees see to it that these laws are obeyed but that does not predict the winner of the Super Bowl. There is not enough information in the rules of the game to make that prediction. That is why we play the game. Chaitin (1985, 1987a) has examined the information content of the laws of physics yby actually programming them. He finds the information content amazing small.
The reason that there are principles of biology that cannot be derived from the laws of physics and chemistry lies simply in the fact that the genetic information content of the genome for constructing even the simplest organisms is much larger than the information content of these laws (Yockey, 1992).
Bolded emphasis at the end is mine. While I have not read significantly further to really justify all of Yockey's claims, I think the spirit of his ideas is in the right place, and aligns with what Andrew aswas saying: just like you can't use the concept of a universal computer to specifically predict what programs will be written on it, you can't use physics to predict what the specific rules of biology will be. At best, you can only constrain the rules of biology to physically-possible scenarios.
If you choose a physics-dependent definition, then, yes, you can generally determine several biological rules -- but even then, not all of them, due to emergence, which others have mentioned. These physics-dependent definitions of life often run the risk of being too specific (e.g. too carbon chauvinist) -- we might have to expand the definition of life when we encounter new forms that we considerdecide we want to be lifeconsidered as alive.
However, I was merely noting that some people, including Yockey, have tried to produce relatively physics-agnostic definitions of life, which are of at least some epistemological interest (even if of little to no biological interest). I worry that Yockey's definition, which is based on information processing principles, runs the risk of being too general -- it is hard to see how computers, for example, would not be lumped into his definition of life. More generally, if several very different physical systems match a physics-agnostic definition of life, it is hard to argue that physics alone "predicts" how life ought to function: it simply constraintsconstrains how life does/can function in our universe.