<table border="1" cellpadding="10" cellspacing="1" style="width:100%;">
 <tbody>
 <tr>
 <td colspan="3" style="background-color: rgb(244, 242, 246);">Enhanced algorithms</td>
 </tr>
 <tr>
 <td style="background-color: rgb(244, 242, 246);">Strategies</td>
 <td style="background-color: rgb(244, 242, 246);">Advantages</td>
 <td style="background-color: rgb(244, 242, 246);">Limitations</td>
 </tr>
 <tr>
 <td>HCL systems incorporating heart rate, accelerometry along with energy expenditure and galvanic skin response</td>
 <td>For detection of physical activity and improvements in glycemic outcomes</td>
 <td>These algorithms reactive and remain subject to the slower PK of subcutaneous insulin absorption</td>
 </tr>
 <tr>
 <td>Machine learning for personalization of CL systems</td>
 <td>Recognizes habitual pattern of imminent exercises and trigger CL systems</td>
 <td>Potential risks associated with insulin dosing determined upon the basis of the probability of an event occurring</td>
 </tr>
 </tbody>
</table>

Enhanced algorithms


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Enhanced algorithms
Strategies	Advantages	Limitations
HCL systems incorporating heart rate, accelerometry along with energy expenditure and galvanic skin response	For detection of physical activity and improvements in glycemic outcomes	These algorithms reactive and remain subject to the slower PK of subcutaneous insulin absorption
Machine learning for personalization of CL systems	Recognizes habitual pattern of imminent exercises and trigger CL systems	Potential risks associated with insulin dosing determined upon the basis of the probability of an event occurring

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