simplify php/mysql nested calls - php

Question

I have a mysql table which I'm trying to turn into jQuery listview widgets. The part that I'm having trouble with is how best to extract the info from the table without doing multiple queries on the db itself. I have the following code which works:
global $conn;
$sql = "SELECT `id` FROM `implantFamilies` WHERE `familySelector` = '" . $_POST['implantFamily'] . "'"; //need to sanitise this
$result = $conn->query($sql);
if ($result->num_rows == 1) {
while($row = $result->fetch_assoc()) {
$familyId = $row["id"];
}
} else {
die("Error: " . $result->num_rows . " family groups in result. Alert administrator.");
}
?>
<form class="ui-filterable">
<input id="filterBasic-input" data-type="search">
</form>
<?php
$sql = "SELECT DISTINCT `familySection` FROM `implants` WHERE `familyGroupId` = '" . $familyId . "'";
$sections = $conn->query($sql);
if ($sections->num_rows > 0) {
while ($sectionRow = $sections->fetch_assoc()) {
$output .= "<b>" . $sectionRow["familySection"] . "</b><br>";
//DISPLAY COLLAPSIBLE DIV HERE
$sql = "SELECT DISTINCT `sectionHeading` FROM `implants` WHERE `familyGroupId` = '" . $familyId . "' AND `familySection` = '" . $sectionRow["familySection"] . "'";
$dividers = $conn->query($sql);
if ($dividers->num_rows > 0) {
while ($headingRow = $dividers->fetch_assoc()) {
$output .= "<i>" . $headingRow["sectionHeading"] . "</i><br>";
//DISPLAY list-divisers DIV HERE
$sql = "SELECT `reference`, `description`, `filterText`, `requiresLot` FROM `implants` WHERE `familyGroupId` = '" . $familyId . "' AND `familySection` = '" . $sectionRow["familySection"] . "' AND `sectionHeading` = '" . $headingRow["sectionHeading"] . "'";
$implants = $conn->query($sql);
if ($implants->num_rows > 0) {
while ($implantRow = $implants->fetch_assoc()) {
$output .= $implantRow["description"] . "<br>";
//DISPLAY implants DIV HERE
}
} else {
$output = "0 results";
}
}
} else {
$output = "0 results";
}
}
} else {
$output = "0 results";
}
$conn->close();
echo $output;
On the first lot of (simple) data which I've put into the table, this code executes 23 mysql queries. There must be a simpler way!