Applying Bayes law for probability of disease in a patient if two independently different test are positive or negative or one positive and one neg

Question

I am a clinical chemist, thus definitely not good in statistics and probability. Could anyone help me to solve following problem. I have situation where I have two different test ran on a patient for a disease. Test 1 has a sensitivity and specificity of 0.7 & 0.6 whereas Test 2 has sensitivity and specificity of 0.3 and 0.9, both test are ran on the patient. How do I calculate a patient having disease if both test are positive, both are negative and one is positive & other is negative. The prevalence of disease is 10% in the population. Is there a simple formula i can use. Thanks